{
  "about": "AI Citizen Action directory data. Channel records are published here only when a reviewed route explicitly accepts contact and is currently open or limited. Route verified still records technical retrieval separately.",
  "section": "orgs",
  "count": 82,
  "excluded_count": 0,
  "generated": "2026-09-24T15:07:58.861Z",
  "records": [
    {
      "id": "ca-lawzero",
      "type": "civil-society",
      "geo": {
        "country": "ca",
        "label": "Canada (Montreal)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "info@lawzero.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "2a7bd61768a1"
          },
          {
            "id": "media",
            "type": "email",
            "value": "media@lawzero.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ec5ebf064c3e"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://job-boards.greenhouse.io/lawzero",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "bc16b26987be"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://lawzero.org/en",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "d95d5f414a42"
          }
        ],
        "region": "Canada",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-e3db2402-b83e-4dbb-a65b-87e23204a21b",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "LawZero",
        "remit": "Non-profit founded by Yoshua Bengio in June 2025 to develop safe-by-design AI. Core technical bet is 'Scientist AI' — a non-agentic, uncertainty-quantifying system designed to understand and predict rather than to act, usable as a guardrail that monitors and vetoes unsafe actions by agentic systems.",
        "threat_model": "Loss of control from agentic AI with goals and self-preservation drives. Bengio's explicit thesis is that agency itself is the hazard and that non-agentic systems are the safe substrate.",
        "reality_check": "New and building. Two real published inboxes, which is more than most technical labs offer. Be aware that Bengio is spread across three major roles — reaching LawZero is not the same as reaching him, and volume to him is extremely high.",
        "gov_channel": "Very strong by proxy — Bengio chairs both the International AI Safety Report and co-chairs the UN Scientific Panel. LawZero itself has no formal advisory seat, but its founder is the single most connected individual in global AI safety governance.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "media": {
            "label": "Media",
            "scope": "Press"
          },
          "careers": {
            "label": "Careers",
            "scope": "Researchers and engineers"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://job-boards.greenhouse.io/lawzero",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "32334e5cb2",
        "research_order": 106,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "ca-mila-quebec-ai-institute",
      "type": "academic",
      "geo": {
        "country": "ca",
        "label": "Canada (Montreal)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-information",
            "type": "email",
            "value": "info@mila.quebec",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "769fefcf317d"
          },
          {
            "id": "media-requests",
            "type": "email",
            "value": "medias@mila.quebec",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d088a0d700f8"
          },
          {
            "id": "continuing-education",
            "type": "email",
            "value": "education@mila.quebec",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "67152078cd79"
          },
          {
            "id": "mila-ventures",
            "type": "email",
            "value": "ventures@mila.quebec",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "f7dbd3a912af"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://apply.workable.com/mila-2/?lng=en",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e97aa011775a"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://mila.quebec/en",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "f92cfb23cd11"
          }
        ],
        "region": "Canada",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-be4c9f1c-c72a-42b9-8d1e-25a79acbbfd9",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Mila — Quebec AI Institute",
        "remit": "Research institute founded by Yoshua Bengio in 1993, uniting researchers from Université de Montréal, McGill, Polytechnique Montréal and HEC Montréal — 1,400+ researchers and 140+ affiliated professors. AI safety and governance work runs through an AI Governance, Policy and Inclusion division, the AI Policy Compass programme for policymakers, TRAIL responsible-AI training, and the AI4Good Lab, plus Indigenous-AI work.",
        "threat_model": "Broad. Bengio's presence anchors serious loss-of-control work, while the institutional programmes emphasise responsible AI, inclusion and policy capacity. Do not assume Mila as an institution shares Bengio's x-risk position — most of it does not.",
        "reality_check": "Several real published inboxes, which is good. But it is a large general ML institute, not a safety organisation — most of its 1,400 researchers do capabilities work. Route safety concerns to LawZero or to Bengio's academic page rather than to Mila's general inbox.",
        "gov_channel": "Strong in Canada — Mila researchers advise the Canadian government and Bengio chairs both the International AI Safety Report and co-chairs the UN Scientific Panel.",
        "routes": {
          "general-information": {
            "label": "General information",
            "scope": "Anyone",
            "note": "Address: 6666 St-Urbain #200, Montreal, Quebec H2S 3H1."
          },
          "media-requests": {
            "label": "Media requests",
            "scope": "Press"
          },
          "continuing-education": {
            "label": "Continuing education (TRAIL, AI Policy Compass)",
            "scope": "Professionals and policymakers"
          },
          "mila-ventures": {
            "label": "Mila Ventures",
            "scope": "Startups"
          },
          "careers": {
            "label": "Careers",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://apply.workable.com/mila-2/?lng=en",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "2f70b8425a",
        "research_order": 139,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "ca-vector-institute",
      "type": "academic",
      "geo": {
        "country": "ca",
        "label": "Canada (Toronto)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-information",
            "type": "email",
            "value": "info@vectorinstitute.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "62b82dc67ff3"
          },
          {
            "id": "media",
            "type": "email",
            "value": "media@vectorinstitute.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "cdf29ab7a77b"
          },
          {
            "id": "contact-page",
            "type": "form",
            "value": "https://vectorinstitute.ai/about/contact/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d166a50dda7b"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://vectorinstitute.ai/about/careers/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "891006ae7f0c"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://vectorinstitute.ai/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "36016f758692"
          }
        ],
        "region": "Canada",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-a0f67e3c-2721-402e-b2ea-fefe98b06c4c",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Vector Institute",
        "remit": "Canada's Toronto-based AI institute — 1,488+ affiliated researchers and faculty, 30+ industry partnerships, 450+ papers. Focus is research excellence and accelerating AI adoption across Canadian industry and health systems, with a stated 'responsible AI leadership' strand and work on trustworthy AI frameworks and evaluation.",
        "threat_model": "Trustworthy-AI and adoption framing: reliability, privacy, fairness and deployment safety in regulated sectors, especially health. Not a catastrophic-risk institute.",
        "reality_check": "Published inbox, but an adoption-and-industry institute at heart. Its AI safety footprint is much smaller than its size suggests. Low yield for a safety concern.",
        "gov_channel": "Real in Canada — Vector is a federally and provincially funded pillar of the Pan-Canadian AI Strategy and advises on Canadian AI policy.",
        "routes": {
          "general-information": {
            "label": "General information",
            "scope": "Anyone"
          },
          "media": {
            "label": "Media",
            "scope": "Press"
          },
          "contact-page": {
            "label": "Contact page",
            "scope": "General"
          },
          "careers": {
            "label": "Careers",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://vectorinstitute.ai/about/contact/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://vectorinstitute.ai/about/careers/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "8e88ad23c2",
        "research_order": 140,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "cn-institute-ai-international-governance",
      "type": "academic",
      "geo": {
        "country": "cn",
        "label": "China (Beijing)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "i-aiig@tsinghua.edu.cn",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "f8bf4a18df80"
          },
          {
            "id": "institute-site",
            "type": "form",
            "value": "http://aiig.tsinghua.edu.cn/en/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "8f081dcdc66e"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "http://aiig.tsinghua.edu.cn/en/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "e597e93d6232"
          }
        ],
        "region": "China",
        "public_input": "limited",
        "tags": [
          "law",
          "research"
        ],
        "entity_key": "entity-a958d944-1447-49ac-815e-f9d4f75b30d0",
        "roles": [
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        ]
      },
      "strings": {
        "name": "Institute for AI International Governance (I-AIIG), Tsinghua University",
        "remit": "Tsinghua's AI governance research institute. Conducts research on AI governance frameworks and international cooperation, hosts the International AI Cooperation and Governance Forum, runs talent programmes (including the AI for SDGs Global Youth competition), publishes annual reports and academic work, and coordinates with UN agencies and foreign governments. Tsinghua also hosts the Center for International Security and Strategy (CISS), which does AI-and-security track-II work, and co-launched a UNU Hub on ethical and responsible AI.",
        "threat_model": "International governance and cooperation framing; increasingly engages frontier risk and AI safety in dialogue with Western counterparts. Chinese AI safety discourse has moved noticeably toward frontier-risk framing, with Chinese scientists (including Andrew Yao and Zhang Ya-Qin) signing international statements.",
        "reality_check": "A published inbox, but approaching a Chinese state-adjacent academic institute cold from abroad rarely works. The realistic route is via Concordia AI, which has existing relationships across Chinese AI safety institutions, or via the international forums Tsinghua co-hosts.",
        "gov_channel": "Strong within China — Tsinghua institutes advise Chinese ministries and participate in official international dialogues.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone",
            "note": "Phone: +86 10 62794781. Tsinghua University, Haidian District, Beijing."
          },
          "institute-site": {
            "label": "Institute site (English)",
            "scope": "Public"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "http://aiig.tsinghua.edu.cn/en/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "28952e7167",
        "research_order": 141,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "cn-pku-alignment-group-center-ai-safety",
      "type": "academic",
      "geo": {
        "country": "cn",
        "label": "China (Beijing)"
      },
      "facts": {
        "routes": [
          {
            "id": "pku-alignment-group-general",
            "type": "email",
            "value": "pku.alignment@gmail.com",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "94e61dce1fab"
          },
          {
            "id": "github-open-source-alignment",
            "type": "submission",
            "value": "https://github.com/PKU-Alignment",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "26808f6a0e6d"
          },
          {
            "id": "recruitment-form",
            "type": "form",
            "value": "https://hwcdc27ergv.feishu.cn/share/base/form/shrcnujPFnMnEL4tFrtPLXV9qad",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "3dfe8853e075"
          },
          {
            "id": "pku-center-ai-safety",
            "type": "form",
            "value": "https://www.ai.pku.edu.cn/en/Faculty/AI_Humanities_and_Social_Sciences_Centers/Center_for_AI_Safety_and_Governance.htm",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "2a859e4be9fa"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://pku-alignment.group/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "ebd274502841"
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        ],
        "region": "China",
        "public_input": "open",
        "tags": [
          "research"
        ],
        "entity_key": "entity-2d8c3951-e267-4d3d-a254-2bec498bb06e",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "PKU Alignment Group / Center for AI Safety and Governance, Peking University",
        "remit": "PKU-Alignment is a student-organised research team at Peking University working on reinforcement learning, LLMs, world models and AI alignment. Widely known for open-sourcing alignment resources — PKU-SafeRLHF datasets, Safe-RLHF training code, BeaverTails and the Align-Anything framework — published at ACL, NeurIPS and ICLR, with collaborations including Anthropic, Google DeepMind, DeepSeek and Alibaba. PKU's Institute for AI separately hosts a Center for AI Safety and Governance.",
        "threat_model": "Value alignment of LLMs — safe RLHF, helpfulness/harmlessness tradeoffs, and increasingly scalable oversight. Genuinely alignment-focused, not a near-term-harms group.",
        "reality_check": "Notably open for a Chinese institution — a public Gmail address, open GitHub, and a public recruitment form. Its open-source alignment work is genuinely used worldwide, making GitHub the highest-bandwidth channel. Student-run, so responsiveness varies with cohort.",
        "gov_channel": "Indirect — PKU researchers feed into Chinese AI safety standards discussions and the China AI Safety and Development Network.",
        "routes": {
          "pku-alignment-group-general": {
            "label": "PKU Alignment Group general contact",
            "scope": "Anyone",
            "note": "Location: West Ziyuan Building, Peking University, Haidian, Beijing."
          },
          "github-open-source-alignment": {
            "label": "GitHub — open-source alignment datasets and frameworks, open to contribution",
            "scope": "Anyone",
            "note": "The most practical route for technical engagement; these repositories are widely used internationally."
          },
          "recruitment-form": {
            "label": "Recruitment form",
            "scope": "Prospective members"
          },
          "pku-center-ai-safety": {
            "label": "PKU Center for AI Safety and Governance",
            "scope": "Reference"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://github.com/PKU-Alignment",
            "checked": "2026-09-22"
          },
          {
            "url": "https://hwcdc27ergv.feishu.cn/share/base/form/shrcnujPFnMnEL4tFrtPLXV9qad",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.ai.pku.edu.cn/en/Faculty/AI_Humanities_and_Social_Sciences_Centers/Center_for_AI_Safety_and_Governance.htm",
            "checked": "2026-09-22"
          }
        ],
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        "legacy_id": "659fafa62d",
        "research_order": 142,
        "migrated_from": "input/data/institutions.json"
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    {
      "id": "eu-beuc",
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      "geo": {
        "country": "eu",
        "label": "European Union / Europe — 44 member organisations, 31 countries."
      },
      "facts": {
        "routes": [
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            "id": "action",
            "type": "action",
            "value": "https://www.beuc.eu/general/artificial-intelligence",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4efb0627a24e"
          }
        ],
        "perspective": "civil-liberties",
        "volunteers": "no",
        "tags": [
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          "harm",
          "join"
        ],
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        "roles": [
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        ]
      },
      "strings": {
        "name": "BEUC (European Consumer Organisation)",
        "the_ask": "The EU AI Act must give consumers real, enforceable rights — accountability, transparency and control over AI — and must not be hollowed out by the digital omnibus deregulation.",
        "what_they_do": "Umbrella body for 44 independent national consumer organisations in 31 countries; lobbies EU institutions, files joint letters (e.g. July 2026 on keeping medical devices in the AI Act's scope) and publicly warned in May 2026 that the adopted AI omnibus 'risks creating dangerous regulatory loopholes and weakening consumer protection'.",
        "newcomer_action": "Join or contact your own national consumer organisation (the BEUC member in your country) — that is the only individual route; BEUC itself works with institutions, not individuals.",
        "tips": "no — complaints go to national member organisations",
        "geography": "European Union / Europe — 44 member organisations, 31 countries.",
        "scale": "Mid-sized Brussels secretariat representing very large national members.",
        "spending": "Member-funded and EU-grant funded; registered on the EU transparency register.",
        "caution": "BEUC does not take individual cases. Its influence is real but institutional; your leverage is through your national member organisation's campaigns.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
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            "url": "https://www.beuc.eu/general/artificial-intelligence",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "d1bc211a63",
        "research_order": 37,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "gb-ada-lovelace-institute",
      "type": "civil-society",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (London)"
      },
      "facts": {
        "routes": [
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            "id": "contact-page",
            "type": "form",
            "value": "https://www.adalovelaceinstitute.org/about/contact/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ed82068a1604"
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          {
            "id": "public-deliberation-participation-programmes",
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            "verified": true,
            "verification_method": "fetched_source_page",
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            "id": "newsletter",
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            "verification_method": "listed_not_independently_checked",
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            "source_id": "975c581d88fd"
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        ],
        "region": "United Kingdom",
        "public_input": "limited",
        "tags": [
          "research",
          "systemic"
        ],
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        "roles": [
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        ]
      },
      "strings": {
        "name": "Ada Lovelace Institute",
        "remit": "Independent research institute (funded by the Nuffield Foundation) working on AI governance, policy and regulation; AI evaluation methods; public-sector AI; public participation and deliberation about AI; and law and policy. Notable for running genuine public deliberation exercises and for rigorous work on the limits of AI evaluation and audit.",
        "threat_model": "Near-term and structural: distributional justice, public legitimacy, regulatory capacity, and accountability for deployed systems. Explicitly NOT an existential-risk organisation — it has published critiques of the frontier-risk framing. Do not mislabel it as an alignment body.",
        "reality_check": "Reputable and moderately responsive, with a genuine methodological commitment to public voice. Email addresses are deliberately obscured on the site, so use the form. UNVERIFIED: exact email addresses could not be confirmed — do not guess them.",
        "gov_channel": "Strong in the UK — regularly cited in parliamentary committee work and consulted on UK AI regulation; also active in EU debates.",
        "routes": {
          "contact-page": {
            "label": "Contact page",
            "scope": "General and media enquiries",
            "note": "The page lists a general enquiries address and a media contact (George Lloyd-King), but the addresses are obfuscated against scraping and could not be read reliably — use the page itself. Phone: +44 (0)207 631 0566. Address: 100 St John Street, London EC1M 4EH."
          },
          "public-deliberation-participation-programmes": {
            "label": "Public deliberation and participation programmes",
            "scope": "Members of the public are recruited into deliberative exercises",
            "note": "One of very few organisations that structurally involves ordinary members of the public in its method."
          },
          "newsletter": {
            "label": "Newsletter",
            "scope": "Anyone"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.adalovelaceinstitute.org/about/contact/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.adalovelaceinstitute.org/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.adalovelaceinstitute.org/newsletter-subscribe",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
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        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "gb-alignment-research-engineer-accelerator",
      "type": "academic",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (London, hosted at LISA in Shoreditch)"
      },
      "facts": {
        "routes": [
          {
            "id": "applications-three-stages",
            "type": "submission",
            "value": "https://www.arena.education/applications",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "aefa4bb33cb9"
          },
          {
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            "type": "email",
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            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "eca832c46ad4"
          },
          {
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            "type": "form",
            "value": "https://airtable.com/appZIMMH3ywSxS0A9/pag5hzxSeGb5FA7nT/form",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
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          },
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            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
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        ],
        "region": "United Kingdom",
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        "tags": [
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        ],
        "entity_key": "entity-800584f7-a6e5-45f4-a1f2-748554cc98c4",
        "roles": [
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        ]
      },
      "strings": {
        "name": "Alignment Research Engineer Accelerator (ARENA)",
        "remit": "Intensive 4–5 week in-person bootcamp training people in the engineering skills for technical AI safety work — transformer internals, interpretability, RL, evals. Runs 2–3 cohorts a year (ARENA 9.0 scheduled 5 Oct – 6 Nov 2026). Covers travel, visas, accommodation and meals to remove financial barriers. Curriculum is public and self-studiable.",
        "threat_model": "Talent-pipeline intervention for technical alignment broadly — it is upstream of any particular threat model, though its curriculum is oriented toward interpretability, evaluations and alignment rather than near-term harms.",
        "reality_check": "One of the most concretely open doors in the entire ecosystem for a technically-inclined individual with no credentials or connections — funded, structured, and explicitly designed to remove barriers. Competitive, but the curriculum is free online regardless.",
        "gov_channel": "None directly; alumni populate safety teams at labs and institutes.",
        "routes": {
          "applications-three-stages": {
            "label": "Applications — three stages: form (<90 min), coding test (6 questions, 1 hour), 30-minute interview",
            "scope": "Anyone with Python proficiency and foundational maths (linear algebra, calculus, probability); no institutional affiliation needed",
            "note": "Financially supported, which makes it genuinely accessible."
          },
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "expression-interest": {
            "label": "Expression of interest (for future cohorts)",
            "scope": "Anyone"
          },
          "homepage": {
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          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
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            "checked": "2026-09-22"
          },
          {
            "url": "https://airtable.com/appZIMMH3ywSxS0A9/pag5hzxSeGb5FA7nT/form",
            "checked": "2026-09-22"
          }
        ],
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        ],
        "legacy_id": "3409ddab7c",
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        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "gb-apollo-research",
      "type": "civil-society",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (London) / US-registered (EIN 93-4310599, EU Transparency Register 837878591690-80)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-research-partnership-enquiries",
            "type": "email",
            "value": "info@apolloresearch.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "aecf473b8035"
          },
          {
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            "type": "form",
            "value": "https://www.apolloresearch.ai/contact",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "c2a706d452ff"
          },
          {
            "id": "watcher-product-access-request",
            "type": "form",
            "value": "https://watcher.apolloresearch.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "33fa0e8b5d9b"
          },
          {
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            "verification_method": "listed_not_independently_checked",
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          }
        ],
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        "public_input": "limited",
        "tags": [
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        ],
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        "roles": [
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        ]
      },
      "strings": {
        "name": "Apollo Research",
        "remit": "Evaluates frontier models for scheming, strategic deception and evaluation-awareness; builds Watcher, a runtime monitoring tool for coding agents; and advises governments on frontier regulation. Ran the in-context scheming evaluations that appear in OpenAI and Anthropic system cards.",
        "threat_model": "Scheming — AI that pursues its own goals while appearing aligned — plus loss of control in automated AI R&D and misaligned models as insider threats. Explicitly a deceptive-alignment organisation.",
        "reality_check": "Small, focused, and explicitly soliciting research collaboration on its contact page — one of the more genuinely open technical labs. There is no dedicated route for reporting a concern about a model or a company, only a general inbox.",
        "gov_channel": "Strong for its size — its governance team works with the UK AI Security Institute and EU processes, and it is on the EU Transparency Register.",
        "routes": {
          "general-research-partnership-enquiries": {
            "label": "General and research-partnership enquiries",
            "scope": "Anyone; the contact page explicitly invites partnership on scheming, loss-of-control and monitoring research"
          },
          "contact-form": {
            "label": "Contact form (General / Partnerships & Sales / Press)",
            "scope": "Anyone"
          },
          "watcher-product-access-request": {
            "label": "Watcher product access request",
            "scope": "Developers"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.apolloresearch.ai/contact",
            "checked": "2026-09-22"
          },
          {
            "url": "https://watcher.apolloresearch.ai",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "d7be9ee5be",
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        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "gb-british-medical-association",
      "type": "organisation",
      "geo": {
        "country": "gb",
        "label": "United Kingdom."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.bma.org.uk/media/njgfbmnn/bma-principles-for-artificial-intelligence-ai-and-its-application-in-healthcare.pdf",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "3891f56f2ce7"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — members only, through BMA committee structures",
        "tags": [
          "fund",
          "join",
          "tip"
        ],
        "entity_key": "entity-17a1a300-a974-41de-8f1b-2c2e6d25a072",
        "roles": [
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        ]
      },
      "strings": {
        "name": "British Medical Association (BMA)",
        "the_ask": "AI in the NHS must support and not supplant doctors, with clear principles for safe clinical use and protection of NHS patient data.",
        "what_they_do": "Publishes BMA Principles for Artificial Intelligence and its Application in Healthcare; responds to NHS plans (it has publicly opposed AI being used to supplant doctors in the NHS plan) and has warned about risks to NHS data from AI deals; represents doctors in negotiation and in the press.",
        "newcomer_action": "If you are a BMA member, read the AI principles document and raise AI in your local negotiating committee or through a motion to the Annual Representative Meeting.",
        "tips": "no",
        "geography": "United Kingdom.",
        "scale": "Large — the UK doctors' trade union and professional association.",
        "spending": "Membership funded.",
        "caution": "UNVERIFIED: the principles PDF URL is on the BMA's own domain but was located via search rather than fetched, and the 2026 positions cited (NHS plan, NHS data warnings) come from third-party reporting. Confirm on bma.org.uk before relying on it. Route in is membership.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
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        "review_by": "2027-03-21",
        "sources": [
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            "checked": null
          }
        ],
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        ],
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        "migrated_from": "input/data/committees-and-organisations.json#orgs"
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    },
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      "type": "civil-society",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (Oxford), with a US policy presence"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "contact@governance.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "1de073bfc245"
          },
          {
            "id": "opportunities-page-fellowships",
            "type": "submission",
            "value": "https://www.governance.ai/opportunities",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "576384f0d279"
          },
          {
            "id": "general-expression-interest-form",
            "type": "form",
            "value": "https://airtable.com/app7yGiAaPGJ173Hz/pagi6elN7olrBGaUn/form",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "dbc130ef290d"
          },
          {
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            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "c0de4be5a378"
          }
        ],
        "region": "United Kingdom",
        "public_input": "open",
        "tags": [
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          "research"
        ],
        "entity_key": "entity-c027a24c-a56d-434b-9f1c-3eb64d10b2ec",
        "roles": [
          "civil-society"
        ]
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      "strings": {
        "name": "Centre for the Governance of AI (GovAI)",
        "remit": "Research institute producing academic-quality AI governance research and, critically, a talent pipeline — GovAI Fellowships (biannual UK editions plus other cohorts), an Entrepreneur-in-Residence programme offering a salaried year plus ~$150k seed funding to launch new AI governance organisations, and policy roles. Research spans compute governance, corporate governance of labs, international institutions, and dual-use capability risk (e.g. bioterrorism risk from dual-use AI).",
        "threat_model": "Frontier and transformative-AI governance: dual-use misuse (especially bio), racing dynamics, institutional readiness, and loss of control. Long-termist in origin, increasingly mainstream-policy in output.",
        "reality_check": "Responsive and actively recruiting outsiders — the fellowship and EiR routes are real and competitive rather than nominal. It is a research and talent institution, not a complaints channel; it will engage with a well-argued governance proposal, not with a grievance.",
        "gov_channel": "Strong — GovAI alumni populate the UK AI Security Institute, the European Commission's AI Office, and frontier-lab policy teams. Its researchers advise governments directly.",
        "routes": {
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            "label": "General enquiries",
            "scope": "Anyone"
          },
          "opportunities-page-fellowships": {
            "label": "Opportunities page — fellowships, roles, and the Entrepreneur-in-Residence programme",
            "scope": "Researchers and would-be founders",
            "note": "EiR runs on a rolling basis — a genuinely open route for someone with a good new-organisation idea."
          },
          "general-expression-interest-form": {
            "label": "General expression of interest form",
            "scope": "Anyone interested in future roles/fellowships"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
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        "review_by": "2027-03-21",
        "sources": [
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            "url": "https://www.governance.ai/opportunities",
            "checked": "2026-09-22"
          },
          {
            "url": "https://airtable.com/app7yGiAaPGJ173Hz/pagi6elN7olrBGaUn/form",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
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        "research_order": 110,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "gb-centre-study-existential-risk",
      "type": "academic",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (Cambridge)"
      },
      "facts": {
        "routes": [
          {
            "id": "cser-general-enquiries",
            "type": "email",
            "value": "enquiries@cser.cam.ac.uk",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "22a4cc63aab7"
          },
          {
            "id": "institute-technology-humanity",
            "type": "email",
            "value": "info@ith.cam.ac.uk",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "05276382f25f"
          },
          {
            "id": "visitor-affiliate-programmes",
            "type": "membership",
            "value": "https://www.cser.ac.uk/education/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "c76daabf40fd"
          },
          {
            "id": "homepage",
            "type": "homepage",
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            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "3773234e746f"
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        ],
        "region": "United Kingdom",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-21652835-365a-461d-a0d1-f757223e8a29",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Centre for the Study of Existential Risk (CSER), University of Cambridge",
        "remit": "Interdisciplinary research centre on risks that threaten human extinction or civilisational collapse — AI, biological risk, climate and ecological risk, and systemic/cascading risk. Now part of Cambridge's Institute for Technology and Humanity (ITH) alongside LCFI and the Centre for Human-Inspired AI. Runs education programmes, visitor and affiliate schemes.",
        "threat_model": "Global catastrophic and existential risk across multiple hazard classes; on AI, both loss of control and AI as a risk-amplifier for other hazards. Also strong on the governance of extreme risk generally.",
        "reality_check": "A published, monitored inbox and an explicit invitation to contact centre teams about visiting and affiliation — notably more open than most academic centres. Academic pace; it will not act as a rapid-response channel.",
        "gov_channel": "Real in the UK — CSER researchers have given parliamentary evidence and advised on UK risk registers and international processes.",
        "routes": {
          "cser-general-enquiries": {
            "label": "CSER general enquiries",
            "scope": "Anyone",
            "note": "Verified via the ITH contact page, which explicitly invites direct contact with centre teams about education, visitor and affiliate programmes."
          },
          "institute-technology-humanity": {
            "label": "Institute for Technology and Humanity (parent institute)",
            "scope": "General"
          },
          "visitor-affiliate-programmes": {
            "label": "Visitor and affiliate programmes",
            "scope": "Researchers",
            "note": "A real route for external academics to affiliate."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.cser.ac.uk/education/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "6f40f73cc5",
        "research_order": 136,
        "migrated_from": "input/data/institutions.json"
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    },
    {
      "id": "gb-conjecture",
      "type": "civil-society",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (London)"
      },
      "facts": {
        "routes": [
          {
            "id": "contact-form",
            "type": "form",
            "value": "https://www.conjecture.dev/contact",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "6f0c25699f95"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://www.conjecture.dev/career",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "5d1a799fd9d1"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.conjecture.dev/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "c486681b3003"
          }
        ],
        "region": "United Kingdom",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-c36f4621-2964-4108-93c0-aa18db0fc656",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Conjecture",
        "remit": "For-profit AI company founded from the alignment community. Public agenda is Cognitive Emulation — building AI systems that follow bounded, auditable, human-like reasoning processes rather than opaque end-to-end learned policies. In practice the public site now emphasises task-specific training, modular AI components and workflow automation products.",
        "threat_model": "Loss of control via unbounded, uninterpretable general systems; the CoEm bet is that architecture-level boundedness is safer than post-hoc alignment. Its leadership has also been prominent in public advocacy against frontier scaling.",
        "reality_check": "Has become markedly more product-focused and less publicly research-transparent than in 2022–23. A commercial entity with a contact form. Low responsiveness to unsolicited outside input.",
        "gov_channel": "Indirect — its co-founder has been an active public voice in UK and EU AI policy debate, but the company holds no formal advisory role.",
        "routes": {
          "contact-form": {
            "label": "Contact form",
            "scope": "General",
            "note": "No public email address is listed."
          },
          "careers": {
            "label": "Careers",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.conjecture.dev/contact",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.conjecture.dev/career",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "93b907203b",
        "research_order": 103,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "gb-leverhulme-centre-future-intelligence",
      "type": "academic",
      "geo": {
        "country": "gb",
        "label": "United Kingdom (Cambridge, with partners at Oxford, Imperial and Berkeley)"
      },
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        "gov_channel": "Real and direct in-region — trains sitting officials and parliamentarians in several Asian states, which is unusually concrete access.",
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        "spending": "Not disclosed; donations via Givebutter.",
        "caution": "The pledge is demanding: signers commit to 'take at least one action every workday to reduce existential risks until an international body of recognized experts has declared humanity's risk of extinction is under 0.1% per year'. Read that before signing. The site is a directory that points to other organisations — useful as a front door, but joining CAES is not the same as joining a campaign with staff and legislative access.",
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        "newcomer_action": "Sign the petition and use the 'get politicians involved' tool to ask your MP or representative to sign the parliamentary pledge; join the newsletter.",
        "tips": "unclear",
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          "law",
          "tip",
          "harm",
          "systemic"
        ],
        "local_name": "安远AI (registered entity: 北京谋远咨询有限公司)",
        "region": "China",
        "public_input": "open",
        "topics": [
          "frontier-ai",
          "international"
        ],
        "powers": [
          "publish"
        ],
        "routing_evidence": {
          "topics:frontier-ai": "Frontier AI risks including loss of control, CBRN and cyber misuse",
          "topics:international": "framed through international coordination",
          "powers:publish": "it publishes the 'State of AI Safety in China' report series"
        },
        "routing_review": "drafted",
        "entity_key": "entity-7f0d4377-8032-4154-981b-05a810734685",
        "roles": [
          "organisation",
          "government"
        ]
      },
      "strings": {
        "name": "Concordia AI",
        "the_ask": "Build AI safety capacity and international coordination in and with China — better risk monitoring, standards input and cross-border dialogue.",
        "what_they_do": "Research, convenings, consulting to AI labs on risk management, contributions to Chinese national AI standards and policy consultations, and frontier risk monitoring across cyber, bio, chemical and manipulation domains. Runs the AI Risk Monitor and the State of AI Safety in China reports.",
        "newcomer_action": "Subscribe to the AI Safety in China newsletter (aisafetychina.substack.com) and read the State of AI Safety reports; apply for a job if you have relevant expertise.",
        "tips": "no",
        "geography": "China (Beijing) and Singapore, with global engagement.",
        "scale": "Small; headcount not disclosed. Note it describes itself as a 'social enterprise', not a charity.",
        "spending": "Commercial consulting revenue; no donation route.",
        "caution": "It is a social enterprise that consults for AI companies, so it is not a disinterested campaigner and takes no donations or volunteers. There is no advocacy route for a member of the public — its value to you is information.",
        "routes": {
          "action": {
            "label": "Action page"
          },
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "general",
            "note": "VERIFIED — published on concordia-ai.com and fetched."
          },
          "contact-form": {
            "label": "Contact form",
            "scope": "general",
            "note": "VERIFIED — published on the homepage."
          },
          "state-ai-safety-china": {
            "label": "State of AI Safety in China",
            "scope": "publications",
            "note": "UNVERIFIED (search result)."
          },
          "chinese-perspectives-ai-safety": {
            "label": "Chinese Perspectives on AI Safety (translations)",
            "scope": "translations",
            "note": "UNVERIFIED (search result)."
          },
          "homepage": {
            "label": "Homepage"
          }
        },
        "remit": "NOT a government body. A social enterprise 'dedicated to advancing global AI safety and governance', with offices in Beijing and Singapore. It is the de facto bridge organisation between the Chinese and international AI safety communities: it publishes the 'State of AI Safety in China' report series and the AI Safety in China newsletter, co-authored the Frontier AI Risk Management Framework with Shanghai AI Lab, and runs the Chinese Perspectives on AI Safety translation project. Included here because for most outsiders it is the only functioning entry point to Chinese AI safety governance.",
        "powers_text": "research",
        "threat_model": "Frontier AI risks including loss of control, CBRN and cyber misuse, framed through international coordination — with the specific thesis that US-China mutual understanding is a precondition for any effective global regime.",
        "reality_check": "The single most reliable route for a non-Chinese-speaker trying to understand or engage with Chinese AI governance. English-language, responsive, explicitly international in mission. The caveat is the obvious one: it is a private organisation with no authority, cannot transmit complaints to Chinese regulators, and its access depends on remaining uncontroversial with Chinese authorities. Use it for understanding, not for redress.",
        "notes": "Category is marked 'government' only because the output schema requires that field; this organisation is explicitly non-governmental."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://concordia-ai.com/contact/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://concordia-ai.com/contact/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "not_topics"
        ],
        "legacy_id": "492cdad88a",
        "research_order": 15,
        "migrated_from": "input/data/committees-and-organisations.json#orgs",
        "legacy_ids": [
          "492cdad88a",
          "a14c1cab7b"
        ],
        "aliases": [
          "cn-concordia-ai",
          "Concordia AI"
        ],
        "redirect_from": [
          {
            "section": "bodies",
            "id": "cn-concordia-ai"
          }
        ],
        "identity_review": {
          "evidence_urls": [
            "https://concordia-ai.com/contact/"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "geo.label": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.routes": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.perspective": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.volunteers": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.tags": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.name": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.the_ask": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.what_they_do": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.newcomer_action": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.tips": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.geography": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.scale": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.spending": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.caution": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.routes": [
            {
              "record_id": "global-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.local_name": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.region": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.public_input": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.topics": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.powers": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.routing_evidence": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.routing_review": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.remit": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.powers_text": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.threat_model": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.reality_check": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.notes": [
            {
              "record_id": "cn-concordia-ai",
              "source_url": "https://concordia-ai.com/contact/",
              "checked_on": "2026-09-22"
            }
          ]
        }
      }
    },
    {
      "id": "global-controlai",
      "type": "organisation",
      "geo": {
        "country": "global",
        "label": "UK, US, Canada, Germany. UK not-for-profit company limited by guarantee; US 501(c)(4)."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://act.controlai.org/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "622f9db2dc40"
          },
          {
            "id": "take-action-contact-your",
            "type": "form",
            "value": "https://controlai.org/take-action",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "a0bcf14a4ef9"
          },
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "hello@controlai.com",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4c0f3dc28a78"
          },
          {
            "id": "newsletter",
            "type": "form",
            "value": "https://blog.controlai.org/embed",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "9b3e8473479d"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://controlai.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "a6dc9458b2e9"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law",
          "research"
        ],
        "region": "United Kingdom",
        "public_input": "open",
        "entity_key": "entity-23853d16-1bce-4581-bc0e-064f2e3acfb6",
        "roles": [
          "organisation",
          "civil-society"
        ]
      },
      "strings": {
        "name": "ControlAI",
        "the_ask": "Governments should pass binding law prohibiting the development of superintelligent AI, and coordinate internationally to enforce that prohibition.",
        "what_they_do": "Lawmaker briefings and a model bill; a mass newsletter (claims 148,000+ subscribers); media work; a constituent-to-legislator contact tool; organised a letter from 70+ cross-party UK MPs and Peers to the Prime Minister asking the government to evaluate its bill.",
        "newcomer_action": "Use the contact tool at act.controlai.org to email or write to your lawmakers asking them to back a ban on superintelligence development; subscribe to the weekly newsletter; ask to join a local action group.",
        "tips": "No public tip line; offers briefings to lawmakers and journalists via hello@controlai.com",
        "geography": "UK, US, Canada, Germany. UK not-for-profit company limited by guarantee; US 501(c)(4).",
        "scale": "Roughly 20+ staff and advisors listed on its About page. Well-resourced relative to most groups here.",
        "spending": "Not disclosed. Homepage states it is 'only accepting substantial donations, except in special cases' — i.e. it is not running a small-donor programme.",
        "caution": "Its own action page says '205+ lawmakers support our campaign'; its homepage breaks that down as 160+ UK and 35+ Canadian lawmakers, plus 400+ lawmakers briefed across four countries. 'Support' means signing a campaign statement, not voting for a bill — no such bill has passed. The ask is a prohibition, not regulation; joining means endorsing a ban. Small donors are effectively not wanted.",
        "routes": {
          "action": {
            "label": "Action page"
          },
          "take-action-contact-your": {
            "label": "Take action — contact your representative",
            "scope": "Anyone, especially UK, US, Canada and Germany",
            "note": "The most operationally effective grassroots tool in this space — it has demonstrably produced lawmaker endorsements."
          },
          "general-enquiries": {
            "label": "General enquiries, briefing requests and funding enquiries",
            "scope": "Anyone; note the email domain is controlai.com while the website is controlai.org",
            "note": "Verified on controlai.org. They explicitly invite briefing requests — a legislator's office or an individual can ask for one."
          },
          "newsletter": {
            "label": "Newsletter",
            "scope": "Anyone"
          },
          "homepage": {
            "label": "Homepage"
          }
        },
        "remit": "Campaigning organisation working for a prohibition on the development of superintelligent AI. Three functions: public education (newsletter with 148,000+ readers), grassroots advocacy (tooling that helps tens of thousands contact their elected representatives), and direct policymaker briefing — claims 400+ lawmakers briefed since November 2024, with 160+ cross-party UK MPs and Peers and 35+ Canadian lawmakers having endorsed its statement.",
        "threat_model": "Extinction risk from superintelligence, narrowly. Its stated position is that superintelligence could arrive before 2030 with no known containment method. No engagement with near-term harms.",
        "reality_check": "Small, fast-moving, and it answers its email. Best-in-class if your goal is to get a loss-of-control concern in front of a legislator. It will not engage with bias, privacy or labour concerns.",
        "gov_channel": "Direct and unusually effective for its size — its core product is legislator briefings, and it has secured named cross-party endorsements in three parliaments."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://act.controlai.org/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://controlai.org/take-action",
            "checked": "2026-09-22"
          },
          {
            "url": "https://blog.controlai.org/embed",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "87343ca3cf",
        "research_order": 0,
        "migrated_from": "input/data/committees-and-organisations.json#orgs",
        "legacy_ids": [
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          "ca235e82ec"
        ],
        "aliases": [
          "gb-controlai",
          "ControlAI"
        ],
        "redirect_from": [
          {
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            "id": "gb-controlai"
          }
        ],
        "identity_review": {
          "evidence_urls": [
            "https://controlai.org/take-action",
            "https://act.controlai.org/"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
              "record_id": "global-controlai",
              "source_url": "https://act.controlai.org/",
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          ],
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            },
            {
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              "checked_on": "2026-09-22"
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          ],
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          ],
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          ],
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              "source_url": "https://act.controlai.org/",
              "checked_on": "2026-09-22"
            },
            {
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              "source_url": "https://controlai.org/take-action",
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          "strings.geography": [
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          ],
          "strings.scale": [
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          ],
          "strings.caution": [
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          "strings.routes": [
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          ],
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          ],
          "strings.remit": [
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          "strings.threat_model": [
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        "the_ask": "A permanent, enforceable global ban on all further development of frontier AI, plus citizen oversight bodies empowered to regulate or dismantle dangerous technologies.",
        "what_they_do": "Three fronts: public awareness, legislative influence, and non-violent direct action. Its own history page documents sit-ins inside OpenAI offices, a road blockade in front of OpenAI, banner drops and repeated protests at OpenAI and Microsoft since 2024.",
        "newcomer_action": "Attend an event from its Luma calendar, or attend the court proceedings of member Wynd Kaufmyn in San Francisco (it asks local supporters to show up in red shirts); donate.",
        "tips": "unclear — contactstopai@gmail.com",
        "geography": "Primarily San Francisco Bay Area; one protest documented in Kinshasa, DRC.",
        "scale": "Very small — a core of activists, not a staffed organisation. No published budget or headcount.",
        "spending": "Not disclosed; donations via Donorbox.",
        "caution": "This is a civil-disobedience group and you should join only knowing that. Members have blockaded OpenAI's doors and been prosecuted: member Wynd Kaufmyn faced four misdemeanour charges (case CRI-25404422, San Francisco Superior Court), was denied the necessity defence, and the site states she was due to surrender to serve a sentence on 14 Aug 2026. It also subpoenaed Sam Altman (quashed). Its platform is broader than AI risk — it includes rejecting transhumanism and AI personhood, calls for a smaller economy, and bans on AI weapons. Not all actions are legal; attending a protest can carry arrest risk.",
        "routes": {
          "action": {
            "label": "Action page"
          },
          "general-contact": {
            "label": "General contact",
            "scope": "Anyone",
            "note": "A Gmail address — an accurate signal of the organisation's scale and informality."
          },
          "events-meetings": {
            "label": "Events and meetings",
            "scope": "Anyone"
          },
          "history-actions": {
            "label": "History of actions",
            "scope": "Reference"
          },
          "homepage": {
            "label": "Homepage"
          }
        },
        "remit": "Grassroots direct-action movement. Calls for a permanent global ban on frontier AI development and proposes citizen oversight bodies empowered to regulate or dismantle threatening technologies. Operates on three fronts: public awareness, influencing decision-makers and legislation, and non-violent direct action — including blockades and civil disobedience at AI company offices, with members having been arrested.",
        "threat_model": "Extinction and human-dignity framing, combined — AI and Big Tech as threats to 'human dignity, freedom, democracy, and nature'. The most maximalist position in this list.",
        "reality_check": "Tiny and entirely open — anyone can turn up. Will certainly read your email. Has zero institutional access and association with it may actively reduce your credibility with policy bodies. Route here only if direct action is what you want.",
        "gov_channel": "None. It is explicitly an outside-game actor."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://lu.ma/stopai_info",
            "checked": "2026-09-22"
          },
          {
            "url": "https://lu.ma/stopai_info",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.stopai.info/history",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "1ed8571539",
        "research_order": 4,
        "migrated_from": "input/data/committees-and-organisations.json#orgs",
        "legacy_ids": [
          "1ed8571539",
          "a3bc7b8284"
        ],
        "aliases": [
          "us-stopai",
          "StopAI"
        ],
        "redirect_from": [
          {
            "section": "orgs",
            "id": "us-stopai"
          }
        ],
        "identity_review": {
          "evidence_urls": [
            "https://lu.ma/stopai_info",
            "https://www.stopai.info/history"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "geo.label": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.routes": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.perspective": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.volunteers": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.tags": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.name": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.the_ask": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.what_they_do": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.newcomer_action": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.tips": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.geography": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.scale": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.spending": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.caution": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.routes": [
            {
              "record_id": "global-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.region": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.public_input": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.remit": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.threat_model": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.reality_check": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.gov_channel": [
            {
              "record_id": "us-stopai",
              "source_url": "https://lu.ma/stopai_info",
              "checked_on": "2026-09-22"
            }
          ]
        }
      }
    },
    {
      "id": "in-iit-madras-centre-responsible-ai-indiaai",
      "type": "academic",
      "geo": {
        "country": "in",
        "label": "India (Chennai; national programme)"
      },
      "facts": {
        "routes": [
          {
            "id": "cerai-general-enquiries",
            "type": "email",
            "value": "contact@cerai.in",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4cfbedee131d"
          },
          {
            "id": "cerai-site-events",
            "type": "form",
            "value": "https://cerai.iitm.ac.in/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "34801a833d21"
          },
          {
            "id": "indiaai-mission-safe-trusted",
            "type": "submission",
            "value": "https://indiaai.gov.in/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d0cae6b9269b"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://cerai.iitm.ac.in/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "2f1551ed738d"
          }
        ],
        "region": "India",
        "public_input": "limited",
        "tags": [
          "harm",
          "research",
          "systemic"
        ],
        "entity_key": "entity-e9e2da9d-3666-4a5e-91c0-2b318a379d44",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "IIT Madras Centre for Responsible AI (CeRAI) and the IndiaAI Safe & Trusted AI pillar",
        "remit": "CeRAI is a virtual interdisciplinary research centre within IIT Madras's Wadhwani School of Data Science and AI, doing fundamental and applied responsible-AI research, developing accountability/explainability guidelines, and positioning itself as a national standards-contributing body. Co-hosted the Global Conclave on Safe & Trusted AI with the IndiaAI Mission ahead of the India AI Impact Summit 2026, launching eight initiatives and reports. The IndiaAI Mission's Safe & Trusted AI pillar has approved 13+ projects on deepfakes, bias and related harms.",
        "threat_model": "Near-term and deployment harms in the Indian context — deepfakes, bias, consumer protection, explainability, and AI in public service delivery. Development-and-trust framing, not catastrophic risk.",
        "reality_check": "Small, reachable, and currently well-positioned because India is at the centre of the summit series. Genuinely responsive by academic standards. Scope is India-relevant applied harms; frontier-risk concerns will get less traction.",
        "gov_channel": "Direct — CeRAI works with the IndiaAI Mission under MeitY, and India now hosts the AI summit series, giving Indian institutions unusual current weight.",
        "routes": {
          "cerai-general-enquiries": {
            "label": "CeRAI general enquiries",
            "scope": "Anyone"
          },
          "cerai-site-events": {
            "label": "CeRAI site — events, working papers, Safe-AI tag",
            "scope": "Public",
            "note": "https://cerai.iitm.ac.in/tags/safe-ai/ collects the safety work."
          },
          "indiaai-mission-safe-trusted": {
            "label": "IndiaAI Mission Safe & Trusted AI pillar — competitive calls for research projects",
            "scope": "Indian researchers and institutions",
            "note": "UNVERIFIED whether a call is currently open; the pillar has run multiple rounds."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://cerai.iitm.ac.in/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://indiaai.gov.in/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "65efd68fe3",
        "research_order": 144,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "kr-seoul-national-university-ai-policy-trustworthy",
      "type": "academic",
      "geo": {
        "country": "kr",
        "label": "Republic of Korea (Seoul)"
      },
      "facts": {
        "routes": [
          {
            "id": "center-trustworthy-ai",
            "type": "form",
            "value": "https://ctai.snu.ac.kr/en/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "1338075268e3"
          },
          {
            "id": "snu-ai-policy-initiative",
            "type": "form",
            "value": "https://sapi.co.kr/eng/",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "97d6cc2841c9"
          },
          {
            "id": "seoul-ai-policy-conference",
            "type": "form",
            "value": "https://www.saipcon.com/2026-about/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d57be284cc09"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://ctai.snu.ac.kr/en/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "322f5fc38b96"
          }
        ],
        "region": "South Korea",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-355edeac-4aa2-4793-b7f6-5a1672d13822",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Seoul National University — AI policy and trustworthy AI centres",
        "remit": "Two relevant SNU bodies: the Center for Trustworthy AI (CTAI) at ctai.snu.ac.kr, and the SNU AI Policy Initiative (SAPI) at sapi.co.kr, which convenes the annual Seoul AI Policy Conference (SAIPCON, 2026 edition held). Korea is a significant venue — it hosted the 2024 Seoul AI Summit that produced the Frontier AI Safety Commitments, and operates its own AI Safety Institute.",
        "threat_model": "Trustworthy AI and AI policy/regulation, with Korea's own AI Framework Act as a focal point. Governance-framed rather than technical-alignment framed.",
        "reality_check": "Poorly documented in English and I could not verify contact addresses. The conference route is the reliable one. Korea matters because of the Seoul Commitments lineage, but SNU is not a high-yield destination for an outside concern.",
        "gov_channel": "Real in Korea — SAPI convenes government, industry and academia, and Korea's AI Framework Act implementation is an active policy process.",
        "routes": {
          "center-trustworthy-ai": {
            "label": "Center for Trustworthy AI (CTAI)",
            "scope": "Public",
            "note": "UNVERIFIED: no contact email confirmed."
          },
          "snu-ai-policy-initiative": {
            "label": "SNU AI Policy Initiative (SAPI)",
            "scope": "Public",
            "note": "UNVERIFIED — the site returned a 403 to automated fetching. Check in a browser; do not assume an email address."
          },
          "seoul-ai-policy-conference": {
            "label": "Seoul AI Policy Conference (SAIPCON)",
            "scope": "Conference participation",
            "note": "An open conference is the most tractable route in."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://ctai.snu.ac.kr/en/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.saipcon.com/2026-about/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "16febc88ab",
        "research_order": 143,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "nl-existential-risk-observatory",
      "type": "organisation",
      "geo": {
        "country": "nl",
        "label": "Netherlands (Groningen), with European media focus."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.existentialriskobservatory.org/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "c6047c5d5854"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law"
        ],
        "entity_key": "entity-9bae35b2-0384-4ad2-a05a-e8dd4aad88fa",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Existential Risk Observatory",
        "the_ask": "Raise public awareness of existential risks — above all unaligned AI — because public understanding is the precondition for policy that reduces them.",
        "what_they_do": "Media work, op-eds, public debate and campaign work across AI, engineered pandemics, extreme climate scenarios and nuclear war; research and policy specialists on staff.",
        "newcomer_action": "Read and share its output and contact the team directly; there is no published one-click action page.",
        "tips": "unclear",
        "geography": "Netherlands (Groningen), with European media focus.",
        "scale": "Around 15+ people listed including researchers, campaign managers and policy specialists — several affiliated with the University of Groningen.",
        "spending": "Not disclosed.",
        "caution": "Awareness-raising rather than a campaign you can join. Its donate and get-involved pages could not be retrieved, so treat any volunteering or giving route as UNVERIFIED and email first. Its remit is broader than AI.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.existentialriskobservatory.org/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "c7f01b4e8b",
        "research_order": 10,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-rand-center-ai",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "sub": "federal",
        "label": "United States (federally-connected FFRDC operator)"
      },
      "facts": {
        "routes": [
          {
            "id": "get-involved-with-rand",
            "type": "form",
            "value": "https://www.rand.org/global-and-emerging-risks/centers/ai-security-and-technology/get-involved.html",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e01022a1661f"
          },
          {
            "id": "cast-fellows-programme",
            "type": "submission",
            "value": "https://www.rand.org/global-and-emerging-risks/centers/ai-security-and-technology/fellows.html",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "bd1acfd343eb"
          },
          {
            "id": "giving-philanthropic-support",
            "type": "email",
            "value": "giving@rand.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4f21e1f19d6d"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://rand.wd5.myworkdayjobs.com/External_Career_Site/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "9e1db05734fb"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.rand.org/global-and-emerging-risks/centers/ai-security-and-technology.html",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "36dce02ef5e5"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-c588c5d7-c998-475c-b202-6dee633180a2",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "RAND Center on AI, Security, and Technology (RAND CAST) — successor to the Technology and Security Policy Center (TASP)",
        "remit": "RAND's AI centre, formed by building on the Global and Emerging Risks division's inaugural centres — the Technology and Security Policy Center (TASP) and the Meselson Center. Research covers AI security, compute policy, AIxBio, bioresilience and transformative-technology risk. Runs a Fellows Programme and publishes reports that feed directly into US policy.",
        "threat_model": "National-security and catastrophic risk: securing model weights, AI-bio convergence, compute controls, and strategic surprise. Rigorously security-framed; loss of control is treated as one scenario among several.",
        "reality_check": "Institutionally large and effectively closed to unsolicited outside input; there is no meaningful public inbox. IMPORTANT for routing: 'TASP' is a legacy name — use RAND CAST. Influence here comes through the Fellows Programme or co-authorship, not correspondence.",
        "gov_channel": "Among the strongest of any organisation here — RAND briefs Congress and the executive branch routinely and operates FFRDCs for US government sponsors.",
        "routes": {
          "get-involved-with-rand": {
            "label": "Get involved with RAND CAST",
            "scope": "Researchers, funders, partners",
            "note": "Primary published route; contact form rather than email."
          },
          "cast-fellows-programme": {
            "label": "CAST Fellows Programme",
            "scope": "Researchers and practitioners",
            "note": "The most tractable entry route."
          },
          "giving-philanthropic-support": {
            "label": "Giving / philanthropic support",
            "scope": "Donors"
          },
          "careers": {
            "label": "Careers (US)",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
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        "newcomer_action": "Use its data centre policy toolkit if there is a proposed facility near you; cite its market-power research in submissions; apply for a role.",
        "tips": "no public tip line found",
        "geography": "United States, with international influence.",
        "scale": "Small research institute, co-led by Amba Kak and Sarah Myers West; high influence per head.",
        "spending": "Grant-funded.",
        "caution": "A research institute, not a campaign — there is no petition, no membership and no volunteering. Its critique targets AI companies' power and is often explicitly at odds with the existential-risk framing used by groups like MIRI and ControlAI."
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        "threat_model": "Meta-level: the information asymmetry between frontier labs and the public. Agnostic as to which risk — it exists so that insiders with any credible safety concern can surface it safely.",
        "reality_check": "Not on the original list but it is the single most important routing destination for anyone inside an AI company with a safety concern — every other watchdog here defers to it. Small, purpose-built, responsive. UNVERIFIED: no dedicated secure email or Signal channel was published on the homepage; use the Contact Hub.",
        "gov_channel": "Policy work on whistleblower protection statutes (e.g. proposed AI whistleblower protection legislation); no formal advisory seat.",
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            "label": "Contact Hub — connects to vetted specialist attorneys",
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            "scope": "Anyone"
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            "label": "'Third Opinion' — independent expert assessment of whether a concern is well-founded",
            "scope": "Insiders unsure whether their concern warrants escalation",
            "note": "Unusual and valuable: a way to get a concern sanity-checked before taking legal or public risk."
          },
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            "checked": "2026-09-22"
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            "checked": "2026-09-22"
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        "threat_model": "Near-term algorithmic harm to real people, especially racialised and gendered bias in facial recognition, biometrics and automated decision-making. Civil-rights framing throughout. Absolutely not an alignment organisation.",
        "reality_check": "Small, mission-driven, and one of the few organisations that has built an actual intake for individual harm stories and has a track record of acting on them. High responsiveness for in-scope harms; out of scope for anything frontier or speculative.",
        "gov_channel": "Real — AJL research has directly driven municipal facial-recognition bans, FTC and congressional attention, and corporate product withdrawals (IBM, Amazon, Microsoft facial recognition).",
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        "tips": "yes — report.ajl.org is an explicit public harm-reporting channel",
        "geography": "United States primarily, international reach.",
        "scale": "Small organisation with very large cultural reach (Coded Bias, Buolamwini's research).",
        "spending": "Donations via ActBlue and merchandise sales.",
        "caution": "Its remit is bias, biometrics and civil rights harm, not frontier model risk. Reporting a harm is not legal representation — AJL is not a law firm and cannot act on your case."
      },
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        "verified_on": "2026-09-22",
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        "sources": [
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            "checked": "2026-09-22"
          },
          {
            "url": "https://newsletter.ajl.org/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.ajl.org/take-action",
            "checked": "2026-09-22"
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        ],
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          "topics"
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        "legacy_id": "93dd8dcc6a",
        "research_order": 116,
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        "aliases": [
          "us-algorithmic-justice-league-2",
          "Algorithmic Justice League (AJL)"
        ],
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          {
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        ],
        "identity_review": {
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            "https://report.ajl.org",
            "https://www.ajl.org/take-action"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
              "record_id": "us-algorithmic-justice-league",
              "source_url": "https://report.ajl.org",
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          ],
          "facts.routes": [
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              "record_id": "us-algorithmic-justice-league-2",
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          "strings.gov_channel": [
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          ],
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            {
              "record_id": "us-algorithmic-justice-league-2",
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          ],
          "facts.volunteers": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
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          ],
          "strings.the_ask": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
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          ],
          "strings.what_they_do": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
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          ],
          "strings.newcomer_action": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.tips": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.geography": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.scale": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.spending": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.caution": [
            {
              "record_id": "us-algorithmic-justice-league-2",
              "source_url": "https://www.ajl.org/take-action",
              "checked_on": "2026-09-22"
            }
          ]
        }
      }
    },
    {
      "id": "us-alignment-research-center",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley)"
      },
      "facts": {
        "routes": [
          {
            "id": "hiring",
            "type": "form",
            "value": "https://www.alignment.org/hiring/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "b74e7023b775"
          },
          {
            "id": "blog-theory-write-ups",
            "type": "submission",
            "value": "https://www.alignment.org/blog/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e0c110f9b2f9"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.alignment.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "ebc9adb53e3a"
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        ],
        "region": "United States",
        "public_input": "none",
        "tags": [
          "law",
          "research"
        ],
        "entity_key": "entity-53ba992d-66d6-4270-8590-596c5907f5f6",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Alignment Research Center (ARC)",
        "remit": "Small theory-focused non-profit. Current agenda is a theoretical foundation for mechanistic explanations of neural network behaviour — heuristic arguments, low-probability estimation, and algorithms that analyse weights directly rather than by sampling, aimed at predicting out-of-distribution behaviour and detecting anomalies. Its evaluations arm spun out to become METR.",
        "threat_model": "Worst-case intent alignment and deceptive alignment — specifically the problem of catching behaviours that never appear during training or testing. The most theoretical agenda in the field.",
        "reality_check": "Effectively closed and by far the most inward-facing organisation on this list — no email, no contact form, tiny team, deeply technical agenda. The only way in is a serious mathematical contribution to its stated open problems. Do not route a concern here.",
        "gov_channel": "None. ARC does no policy work.",
        "routes": {
          "hiring": {
            "label": "Hiring",
            "scope": "Researchers",
            "note": "No contact email is published anywhere on the site."
          },
          "blog-theory-write-ups": {
            "label": "Blog / theory write-ups — engagement happens in public research discussion",
            "scope": "Researchers",
            "note": "ARC has historically run prize competitions for progress on its open problems; UNVERIFIED whether one is currently live."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.alignment.org/hiring/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.alignment.org/blog/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "5b82ead2a4",
        "research_order": 100,
        "migrated_from": "input/data/institutions.json"
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    },
    {
      "id": "us-american-federation-teachers",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.aft.org/resolution/artificial-intelligence",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "65404c923b88"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — members only",
        "tags": [
          "fund",
          "join",
          "tip"
        ],
        "entity_key": "entity-a8a25cfa-7858-43d8-8e99-71218528759f",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "American Federation of Teachers (AFT)",
        "the_ask": "AI's impact on the workplace should be a mandatory subject of collective bargaining, with contract language preventing worker displacement and a union seat at the table during development, procurement and implementation.",
        "what_they_do": "2024 AI resolution; the 'Commonsense Guardrails for Using Advanced Technology in Schools' report; professional development and e-learning on AI; supports members bargaining AI clauses; calls for regulation on privacy, bias, misinformation and deepfakes and for respect for intellectual property.",
        "newcomer_action": "If you are an AFT member, propose AI language for your next contract using the resolution and guardrails report as the basis, and raise it with your local's bargaining team this week.",
        "tips": "no",
        "geography": "United States.",
        "scale": "Large national union (about 1.8 million members) covering teachers, higher education and healthcare staff.",
        "spending": "Membership funded.",
        "caution": "AFT's stance is 'responsible and principled development and use' — it is not anti-AI and has partnered with AI companies on teacher training, which some members object to. The bargaining route is the genuinely powerful one; the policy statements are not binding on employers by themselves.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.aft.org/resolution/artificial-intelligence",
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          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "f232379b5b",
        "research_order": 45,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-american-medical-association",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.ama-assn.org/practice-management/digital-health/augmented-intelligence-medicine",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "cee0d3f7b29b"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — through the House of Delegates and specialty societies, members only",
        "tags": [
          "join"
        ],
        "entity_key": "entity-6228ff4e-a44f-4253-859b-b91939c17f8d",
        "roles": [
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        ]
      },
      "strings": {
        "name": "American Medical Association (AMA)",
        "the_ask": "Health AI must be ethical, equitable and responsible: disclosed to physicians and patients, overseen by clinicians, with clear rules on physician liability, data privacy, and limits on payers' use of automated decision-making.",
        "what_they_do": "Sets formal AMA policy (searchable in PolicyFinder), publishes the AMA Principles for Augmented Intelligence Development, Deployment and Use, runs the AI Specialty Collaborative and STEPS Forward governance toolkits, surveys physician sentiment, and lobbies Congress on health AI including insurer use of AI in coverage decisions.",
        "newcomer_action": "If you are a physician: join the AI Specialty Collaborative through your specialty society, and use the STEPS Forward governance module to push your employer to adopt an AI policy. Bring a resolution through your state delegation if you want AMA policy changed.",
        "tips": "no",
        "geography": "United States.",
        "scale": "Very large, with one of the biggest health lobbying operations in Washington.",
        "spending": "Membership and publishing funded; a major federal lobbying spender.",
        "caution": "The AMA deliberately uses 'augmented intelligence' rather than 'artificial intelligence' to signal that AI should assist and not replace physicians — that framing is itself the position. Change happens through the House of Delegates resolution process, which is slow and requires membership and a sponsoring society.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.ama-assn.org/practice-management/digital-health/augmented-intelligence-medicine",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "1a4901e14a",
        "research_order": 42,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-american-technology-excellence-project",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — state elections, with heavy California activity."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.axios.com/2025/09/23/meta-superpac-ai-regulation",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "a6d674dd818a"
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        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "join",
          "opposition"
        ],
        "entity_key": "entity-34e19bf1-969f-400e-9516-f1ac054ba112",
        "roles": [
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      },
      "strings": {
        "name": "American Technology Excellence Project (Meta)",
        "the_ask": "Stop states passing their own AI and tech rules; replace the 'patchwork' with a single permissive national approach.",
        "what_they_do": "Meta's bipartisan super PAC, announced 23 September 2025, aimed squarely at state-level AI legislation and state races.",
        "newcomer_action": "Nothing to join. If you are lobbying a state legislator on AI, expect this money to be on the other side of the conversation.",
        "tips": "no",
        "geography": "United States — state elections, with heavy California activity.",
        "scale": "Large.",
        "spending": "Announced as 'tens of millions'; subsequent reporting describes a roughly $65 million election push in 2026.",
        "caution": "UNVERIFIED against Meta's own filings — figures from Axios, TechRepublic and GV Wire. This is separate from and additional to Leading the Future, so the two should not be added together casually, but they do point the same way.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.axios.com/2025/09/23/meta-superpac-ai-regulation",
            "checked": null
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "b3bc316d7d",
        "research_order": 26,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-americans-responsible-innovation",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — federal and, since 2026, state legislatures."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://ari.us/support-us/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "b4bb582d4b77"
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        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law",
          "tip"
        ],
        "entity_key": "entity-192e26bf-89a0-433c-aa86-00ec437fcf28",
        "roles": [
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        ]
      },
      "strings": {
        "name": "Americans for Responsible Innovation (ARI)",
        "the_ask": "The US government should take a proactive approach to AI governance that protects the public, including preserving states' ability to regulate AI rather than pre-empting them.",
        "what_they_do": "Policy research, reports and briefs; federal advocacy; and since September 2026 a nationwide push for state-level AI guardrails. Cofounded by former Rep. Brad Carson, who also leads the Public First super PAC network.",
        "newcomer_action": "Join the email list for policy updates, read Policy Bytes, and donate via Support Us; contact staff if you can help on a state campaign.",
        "tips": "unclear",
        "geography": "United States — federal and, since 2026, state legislatures.",
        "scale": "Established think-tank/advocacy hybrid with professional staff; headcount not published on its site.",
        "spending": "Not disclosed on its own site. Reported by Forbes as funded by effective-altruism-linked donors and safety-focused investors, and connected to the pro-regulation super PAC effort — treat that attribution as UNVERIFIED against ARI's own pages.",
        "caution": "No explicit volunteer or membership programme on its site — the realistic newcomer routes are the mailing list and money. Its leadership overlap with the Public First super PACs means supporting ARI is adjacent to electoral politics, which some people will not want.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://ari.us/support-us/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "b89e94d4b0",
        "research_order": 16,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-build-american-ai",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, national ad campaigns."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://aimoneywatch.org/ltf",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "0c65c0e18d42"
          }
        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "join",
          "opposition",
          "tip"
        ],
        "entity_key": "entity-fd8f1524-3b94-448d-8587-57c005cee417",
        "roles": [
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        ]
      },
      "strings": {
        "name": "Build American AI",
        "the_ask": "Shift public opinion toward AI deregulation and a federal framework pre-empting state laws.",
        "what_they_do": "The advocacy/dark-money arm of Leading the Future, led by Nathan Leamer; runs paid public-opinion campaigns. Reported to deliberately steer debate away from technical safety questions.",
        "newcomer_action": "Nothing to join. If you see AI ads in your area, check whether they are Build American AI's before assuming they are grassroots.",
        "tips": "no",
        "geography": "United States, national ad campaigns.",
        "scale": "Well-funded ad operation.",
        "spending": "Reported $10 million national campaign.",
        "caution": "UNVERIFIED against its own site — figures from Forbes and Wikipedia. As a 501(c)(4) it does not disclose donors, so 'who is paying for this ad' is not answerable from public filings.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://aimoneywatch.org/ltf",
            "checked": null
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "634887e460",
        "research_order": 25,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-center-ai-policy",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Washington, DC)"
      },
      "facts": {
        "routes": [
          {
            "id": "jason-green-lowe",
            "type": "email",
            "value": "jason@aipolicy.us",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "336286282055"
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          {
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            "id": "media",
            "type": "email",
            "value": "media@safe.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "fee2eb6338c7"
          },
          {
            "id": "compute-cluster-access-ml",
            "type": "membership",
            "value": "https://safe.ai/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e5eafe2b7ad4"
          },
          {
            "id": "careers-fellowships",
            "type": "form",
            "value": "https://safe.ai/careers",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "897f5157140b"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://safe.ai/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "9dc9731fbfbc"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research",
          "systemic"
        ],
        "entity_key": "entity-7e962278-e599-4126-9519-77be8c2f558f",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Center for AI Safety (CAIS)",
        "remit": "Three pillars: technical and conceptual safety research; field-building (fellowships, the ML Safety course, and free access to its compute cluster for safety researchers); and safety standards/advocacy. Authored the one-sentence 2023 Statement on AI Risk signed by most leading AI scientists and lab CEOs. Paired with a separate 501(c)(4), the CAIS Action Fund.",
        "threat_model": "Societal-scale and catastrophic risk — malicious use, AI race dynamics, organisational risks and rogue AI, per its own taxonomy. Covers both misuse and loss of control; broader than MIRI, narrower than PAI.",
        "reality_check": "Well-resourced and reads its inbox. The compute cluster and the ML safety course are the most tangible things any organisation here offers an unaffiliated technical person. Policy input is better routed to the Action Fund.",
        "gov_channel": "Strong via its Action Fund (see separate entry); CAIS itself was closely involved in California SB 1047 and subsequent state legislation.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "media": {
            "label": "Media",
            "scope": "Press"
          },
          "compute-cluster-access-ml": {
            "label": "Compute cluster access for ML safety researchers — a concrete resource for unaffiliated researchers",
            "scope": "Safety researchers",
            "note": "Free GPU access is a real and unusual offer to outsiders."
          },
          "careers-fellowships": {
            "label": "Careers and fellowships",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://safe.ai/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://safe.ai/careers",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "3e5176498a",
        "research_order": 108,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-center-human-compatible-ai",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley, California)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-administrative-contact",
            "type": "email",
            "value": "chai-admin@berkeley.edu",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "46c9cca29d86"
          },
          {
            "id": "opportunities-internships-roles",
            "type": "form",
            "value": "https://humancompatible.ai/jobs/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "6e709820c307"
          },
          {
            "id": "people-directory",
            "type": "form",
            "value": "https://humancompatible.ai/people/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "3d083e0649ce"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://humancompatible.ai/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "97b9532339d8"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research",
          "systemic"
        ],
        "entity_key": "entity-4ba4a6f2-1be3-4068-82bf-c113121308c8",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Center for Human-Compatible AI (CHAI), UC Berkeley",
        "remit": "Technical research lab founded by Stuart Russell, devoted to the theory, practice and policy of provably beneficial AI. Core research programme is assistance games / cooperative inverse reinforcement learning — designing AI that is uncertain about human objectives and defers to humans, rather than optimising a fixed specified objective. Interdisciplinary across CS, social science, law, philosophy, economics and governance. Runs an annual workshop and an internship programme.",
        "threat_model": "Misspecified objectives and loss of control — Russell's thesis that 'optimisation alone won't get us to humane AI' and that the standard model of AI (maximise a given objective) is structurally unsafe.",
        "reality_check": "Publishes a real administrative inbox, which most academic labs do not. The internship route is genuinely open to outsiders. Russell himself is extremely over-subscribed; do not expect a personal reply.",
        "gov_channel": "Strong by proxy — Stuart Russell sits on the FLI AI Safety Index panel, advises the UN and numerous governments, and was a lead author on the International AI Safety Report.",
        "routes": {
          "general-administrative-contact": {
            "label": "General administrative contact",
            "scope": "Anyone",
            "note": "Address: Bakar Gateway, 2300 Hearst Ave, Office 4438, Berkeley CA 94720-1660."
          },
          "opportunities-internships-roles": {
            "label": "Opportunities — internships and roles",
            "scope": "Students and researchers",
            "note": "CHAI's internship programme has historically accepted applicants from outside Berkeley, which is a genuine route in."
          },
          "people-directory": {
            "label": "People directory",
            "scope": "Direct researcher contact"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://humancompatible.ai/jobs/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://humancompatible.ai/people/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "cbacc27010",
        "research_order": 134,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-center-humane-technology",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, global audience."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.humanetech.com/policy-reforms",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d69c6f5e0f40"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law"
        ],
        "entity_key": "entity-20ab415d-67f6-4e7f-aa93-36f8457280a9",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Center for Humane Technology",
        "the_ask": "Change the incentives driving AI deployment, and establish new norms, legal protections and fundamental rights to preserve what makes human life meaningful in the age of AI.",
        "what_they_do": "Public education (the Your Undivided Attention podcast, The AI Dilemma talk, a free course), a policy reforms toolkit, and the 'AI and What Makes Us Human' initiative; works with decision-makers on systems-level interventions.",
        "newcomer_action": "Take the free course and use the Policy Reforms toolkit to brief a local official, employer or school; subscribe to the Substack.",
        "tips": "no",
        "geography": "United States, global audience.",
        "scale": "Mid-sized nonprofit with a fellowship programme and well-known founders (Tristan Harris, Aza Raskin).",
        "spending": "Not disclosed; accepts donations.",
        "caution": "Framing is attention economy, mental health and social harm rather than extinction risk, though it covers both. High-profile media presence; less legislative throughput than Encode or Secure AI Project.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.humanetech.com/policy-reforms",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "b63b36e56c",
        "research_order": 19,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-center-security-emerging-technology",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (Washington, DC)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "cset@georgetown.edu",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4990aa1b48bb"
          },
          {
            "id": "media-enquiries-danny-hague",
            "type": "email",
            "value": "danny.hague@georgetown.edu",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "0d565e9d9a55"
          },
          {
            "id": "publications-data-tools",
            "type": "form",
            "value": "https://cset.georgetown.edu/publications/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ec0bfe672e43"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://cset.georgetown.edu/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "761238b3a332"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "law",
          "research"
        ],
        "entity_key": "entity-c3756e5d-2edd-42e4-9e6f-dc6089c21d98",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Center for Security and Emerging Technology (CSET), Georgetown University",
        "remit": "Data-driven, nonpartisan policy research at the intersection of security and technology, covering AI, advanced computing and biotechnology. Research lines include Applications, Assessment, Bio-Risk, Competition, CyberAI, Data and Workforce. Staff give congressional testimony and consult with policymakers; maintains large datasets (e.g. on Chinese AI research and chip supply chains).",
        "threat_model": "Great-power competition and national security, with sober empiricism about capability claims. Covers AI-enabled cyber and bio-risk; notably sceptical of both hype and doom framings. Not an x-risk organisation and not a civil-rights organisation.",
        "reality_check": "A real published inbox but a large institution with a set research agenda; unsolicited concerns rarely change what it works on. Its public data tools are the highest-value thing an outsider can extract from it.",
        "gov_channel": "Very strong — congressional testimony is routine and CSET alumni staff senior executive-branch AI roles.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "media-enquiries-danny-hague": {
            "label": "Media enquiries — Danny Hague",
            "scope": "Press"
          },
          "publications-data-tools": {
            "label": "Publications and data tools",
            "scope": "Public",
            "note": "CSET's open datasets and ETO tools are genuinely usable by outsiders."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://cset.georgetown.edu/publications/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "a92ff2c7f1",
        "research_order": 113,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-chamber-progress",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — federal, state and courts."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://progresschamber.org/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "9ab11785918e"
          }
        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "fund",
          "join",
          "opposition"
        ],
        "entity_key": "entity-a665b201-91e6-417b-b559-f4000c946134",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Chamber of Progress",
        "the_ask": "Keep AI development and AI-generated work legally unencumbered — defend fair use for AI training, oppose broad restrictions on automated decision systems, and pursue a centre-left 'AI opportunity' agenda.",
        "what_they_do": "Center-left tech industry coalition. Runs the State AI Leadership Project (state-level advocacy), Generate & Create (defending AI training as fair use), the Democratic AI Opportunity Agenda, and the Progress Defense Fund for litigation. Opposed California SB 947.",
        "newcomer_action": "Nothing to join — it is a corporate coalition. If you are arguing about AI and copyright, its Generate & Create material is the clearest statement of the industry's position.",
        "tips": "no",
        "geography": "United States — federal, state and courts.",
        "scale": "Mid-sized, staffed coalition with a litigation arm.",
        "spending": "Corporate funders are not disclosed on the homepage.",
        "caution": "Presents itself as progressive and center-left, which can make it read as civil society rather than industry — it is funded by tech companies and litigates on their side. If you are a writer, artist or musician, its copyright position is directly opposed to yours.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://progresschamber.org/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "71623bcb22",
        "research_order": 29,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-common-sense-media",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, with strong California state activity."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://commonsense.quorum.us/campaign/156791/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "4b22d75a7837"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "yes",
        "tags": [
          "join",
          "law"
        ],
        "entity_key": "entity-693a8eff-4862-4898-b31e-0e0c4ffdc9b5",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Common Sense Media",
        "the_ask": "Children should be protected from unsafe AI — independent risk ratings for AI products, and states must keep the power to pass their own children's AI safety laws.",
        "what_they_do": "Independent risk assessments of AI products (rating Google Search AI, ChatGPT-5, Grok, Perplexity, Claude and AI mental health apps from 'Moderate Risk' to 'Unacceptable Risk'); research on teen AI use; campaigns against the executive order blocking state AI laws; work on deepfakes, AI toys and AI companions.",
        "newcomer_action": "Sign the petition challenging the executive order blocking state AI laws; check the AI ratings before your child uses a tool; subscribe to the newsletters.",
        "tips": "unclear",
        "geography": "United States, with strong California state activity.",
        "scale": "Large and well-established — by far the biggest child-safety-focused organisation on this list, with its own research institute.",
        "spending": "Not disclosed on the pages checked; accepts donations.",
        "caution": "Its frame is child safety and product harm, not catastrophic or existential risk. Broad public appeal but a narrower ask than the pause/ban groups — a good fit if your concern is kids and chatbots, a poor one if it is frontier capability.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://commonsense.quorum.us/campaign/156791/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "34a46f5b3e",
        "research_order": 20,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-consumer-reports",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, federal and state."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://advocacy.consumerreports.org/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "c3267e55f920"
          }
        ],
        "perspective": "civil-liberties",
        "volunteers": "unclear",
        "tags": [
          "audit",
          "fund",
          "harm",
          "join",
          "tip"
        ],
        "entity_key": "entity-204e3ff6-9843-4e5c-83d2-9210bab39819",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Consumer Reports",
        "the_ask": "AI products sold to consumers should be tested, transparent and accountable, and states should keep their role in regulating AI.",
        "what_they_do": "Independent product testing plus a policy arm (CR Advocacy) that files regulatory comments, testifies to Congress (including on AI-enabled fraud and scams), surveys consumers on AI, and backs state algorithmic accountability bills such as Washington SB 5116. It publicly backed the Senate vote upholding states' role over AI regulation and raised concerns about the White House AI Action Plan.",
        "newcomer_action": "Read the CR Advocacy AI press releases to see which bills it supports, cite its testing in a complaint, and subscribe for advocacy alerts.",
        "tips": "unclear",
        "geography": "United States, federal and state.",
        "scale": "Very large and well-resourced; one of the few AI-engaged organisations with its own independent testing labs.",
        "spending": "Subscription and donation funded; takes no advertising.",
        "caution": "Its AI landing page URL could not be confirmed — the domain and its AI positions are verified through CR's own press releases and research posts on advocacy.consumerreports.org, but treat any specific AI sub-page path as UNVERIFIED. Its focus is consumer protection, not catastrophic risk.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://advocacy.consumerreports.org/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "6a8ef723c0",
        "research_order": 35,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-consumer-technology-association",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, federal."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.cta.tech/advocacy/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "5c25b32c500b"
          }
        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "join",
          "opposition"
        ],
        "entity_key": "entity-96334893-42d2-4578-9081-614299ea83bd",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Consumer Technology Association (CTA)",
        "the_ask": "A national AI regulatory framework that is technology-neutral and risk-based and builds on existing law, rather than new rules that it says would hinder innovation and small businesses.",
        "what_they_do": "Trade association for consumer technology (organiser of CES); files policy comments on AI and lobbies federally.",
        "newcomer_action": "Nothing to join unless you are a company. Read its AI policy filings to see the industry's formal legal arguments in your own words.",
        "tips": "no",
        "geography": "United States, federal.",
        "scale": "Very large, long-established trade association.",
        "spending": "Not published on the pages checked.",
        "caution": "CTA's own advocacy page does not explicitly state a position on federal pre-emption of state laws, though it has signed broader industry pre-emption coalition letters — treat any claim that CTA demands pre-emption as UNVERIFIED unless you find it in a specific filing.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.cta.tech/advocacy/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "00d21a73e7",
        "research_order": 28,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-electronic-frontier-foundation",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (with international advocacy)"
      },
      "facts": {
        "routes": [
          {
            "id": "legal-assistance-request-eff",
            "type": "form",
            "value": "https://www.eff.org/pages/legal-assistance",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "53ba72db4fa8"
          },
          {
            "id": "general-contact",
            "type": "form",
            "value": "https://www.eff.org/about/contact",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "35d51fe58574"
          },
          {
            "id": "action-centre-campaigns-comment",
            "type": "form",
            "value": "https://act.eff.org/",
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            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
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          },
          {
            "id": "homepage",
            "type": "homepage",
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            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
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          },
          {
            "id": "action",
            "type": "action",
            "value": "https://futureoflife.org/take-action/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
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        ],
        "region": "European Union",
        "public_input": "open",
        "tags": [
          "research",
          "fund",
          "join",
          "law"
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "entity_key": "entity-5fe1f2d4-9aed-4481-b2f5-48e7db7648f3",
        "roles": [
          "civil-society",
          "organisation"
        ]
      },
      "strings": {
        "name": "Future of Life Institute (FLI)",
        "remit": "Advocacy, grantmaking and policy across AI, biotechnology and nuclear weapons. Outputs include the AI Safety Index (latest edition Summer 2026, published July 2026, grading nine companies — Anthropic C+, OpenAI C, Google DeepMind C, Meta D+, Z.ai D-, Alibaba Cloud D-, xAI F, DeepSeek F, Mistral F — reviewed by a seven-member panel of David Krueger, Sharon Li, Tegan Maharaj, Sneha Revanur, Stuart Russell, Robert Trager and Yi Zeng), the 2023 pause letter, EU AI Act advocacy, and substantial grant programmes.",
        "threat_model": "Extreme large-scale and existential risk, with loss of control and uncontrolled capability escalation as the central AI concern. Also carries structural concerns (power concentration, autonomous weapons). Not a near-term-harms organisation, though the Index rates some near-term practices.",
        "reality_check": "Unusually responsive for its size, and the only major org here that publishes an explicit response-time commitment. Well-resourced, so it can act on what it receives. The Index gives it leverage over company behaviour that few others have.",
        "gov_channel": "Strong — EU Transparency Register presence and sustained EU AI Act engagement, plus US state and federal advocacy and UN input.",
        "routes": {
          "general-enquiries-states-3": {
            "label": "General enquiries — states a 3-business-day response target",
            "scope": "Anyone"
          },
          "policy-team": {
            "label": "Policy team (including AI Safety Index input)",
            "scope": "Policy matters",
            "note": "Listed on the Index page as the route for input on the Index."
          },
          "grants": {
            "label": "Grants",
            "scope": "Grant applicants"
          },
          "press-speaking-requests": {
            "label": "Press and speaking requests",
            "scope": "Media"
          },
          "futures-programme": {
            "label": "Futures programme",
            "scope": "Positive-futures work"
          },
          "grant-programmes-open-calls": {
            "label": "Grant programmes — open calls (PhD/postdoc fellowships, project grants)",
            "scope": "Researchers and organisations"
          },
          "ai-safety-index": {
            "label": "AI Safety Index",
            "scope": "Read; input via policy@"
          },
          "homepage": {
            "label": "Homepage"
          },
          "action": {
            "label": "Action page"
          }
        },
        "the_ask": "A moratorium on developing artificial superintelligence for at least 15 years, plus licensing, auditing and enforceable safety standards before scaling — and a participatory global process rather than decisions made by a handful of CEOs.",
        "what_they_do": "Open letters and petitions (Pause Giant AI Experiments, 31,810 signatories; Asilomar AI Principles), a contact-your-legislator tool, EU AI Act implementation work, grantmaking, the Digital Media Accelerator, and a newsletter with about 70,000 subscribers. It is a registered lobbying entity in both the US and EU.",
        "newcomer_action": "Use the contact-your-legislator tool, sign the open letters, join the action alerts list, or apply to the Digital Media Accelerator if you make creative content.",
        "tips": "no",
        "geography": "United States and European Union (Brussels lobbying presence).",
        "scale": "Mid-sized and well-funded by the standards of this field; a large grantmaker as well as an advocate.",
        "spending": "Registers as a federal lobbying client in the US (OpenSecrets ID D000087562) and appears on the EU transparency register; specific figures not retrieved from its own pages.",
        "caution": "FLI does not have a separately branded advocacy arm — its policy and lobbying work runs through the Institute itself plus EU-registered activity. Its ask is a time-limited moratorium on superintelligence, which is weaker than ControlAI's or StopAI's permanent ban and stronger than Encode's transparency agenda. It is also a funder of other groups on this list, so 'independent' endorsements between these organisations are not always independent."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://futureoflife.org/our-work/grantmaking-work/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://futureoflife.org/index",
            "checked": "2026-09-22"
          },
          {
            "url": "https://futureoflife.org/take-action/",
            "checked": "2026-09-22"
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        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "f6c82db06c",
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        ],
        "aliases": [
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        ],
        "redirect_from": [
          {
            "section": "orgs",
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        ],
        "identity_review": {
          "evidence_urls": [
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          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
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          ],
          "facts.routes": [
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          "facts.tags": [
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          "strings.routes": [
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          ],
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          ],
          "facts.volunteers": [
            {
              "record_id": "us-future-life-institute-2",
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              "checked_on": "2026-09-22"
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          "strings.the_ask": [
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          ],
          "strings.newcomer_action": [
            {
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              "checked_on": "2026-09-22"
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          ],
          "strings.tips": [
            {
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          ],
          "strings.geography": [
            {
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              "source_url": "https://futureoflife.org/take-action/",
              "checked_on": "2026-09-22"
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          ],
          "strings.scale": [
            {
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          ],
          "strings.spending": [
            {
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          ],
          "strings.caution": [
            {
              "record_id": "us-future-life-institute-2",
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              "checked_on": "2026-09-22"
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          ]
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      }
    },
    {
      "id": "us-future-society",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "US and Europe (Brussels presence); founded 2014."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://thefuturesociety.org/donate/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "549e467d48bf"
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        ],
        "perspective": "safety-advocacy",
        "volunteers": "no",
        "tags": [
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          "join",
          "law"
        ],
        "entity_key": "entity-ded333b8-735f-4491-88e0-27ec57615809",
        "roles": [
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        ]
      },
      "strings": {
        "name": "The Future Society",
        "the_ask": "Align AI through better governance — workable international rules, EU implementation, and AI security policy, rather than leaving frontier development ungoverned.",
        "what_they_do": "Policy research and direct engagement with US, European and international decision-makers on international AI governance, European AI governance and AI security; publishes on verification, compute capacity, AI-enabled weapons, risk standards and agent regulation.",
        "newcomer_action": "Read its resource library and cite it in consultation responses; donate; apply for one of its remote European analyst roles.",
        "tips": "no",
        "geography": "US and Europe (Brussels presence); founded 2014.",
        "scale": "Small-to-mid policy nonprofit; salary bands published ($58.4K–$99.2K) suggest a modest budget.",
        "spending": "Not disclosed.",
        "caution": "An insider policy shop. No campaign, no volunteering, no petitions — if you want to *do* something rather than fund or join it professionally, look elsewhere.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
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        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://thefuturesociety.org/donate/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "0c72ac0769",
        "research_order": 18,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
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    },
    {
      "id": "us-goodfire",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States"
      },
      "facts": {
        "routes": [
          {
            "id": "research-access-request",
            "type": "form",
            "value": "https://www.goodfire.com/research-access",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "15b9e976443b"
          },
          {
            "id": "request-demo",
            "type": "form",
            "value": "https://www.goodfire.com/request-demo",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "f637f05de19b"
          },
          {
            "id": "discord",
            "type": "form",
            "value": "https://discord.com/invite/Rk7mZWkr5g",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "3f4963fe1bd8"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://www.goodfire.com/careers",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "02470de5327f"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.goodfire.com/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "61906caab545"
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        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-703a4ddf-e7b4-4b03-899c-2f0dd3f3b575",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Goodfire",
        "remit": "For-profit interpretability research lab. Reverse-engineers causal mechanisms in neural networks; commercial product Silico for model understanding, debugging and training-time steering. Publishes interpretability research alongside the commercial offering.",
        "threat_model": "Interpretability as the enabling technology for oversight; the implicit model is that undiagnosable systems cannot be safely deployed. Commercially oriented toward debugging and control rather than catastrophic-risk mitigation.",
        "reality_check": "A company, not an advocacy body — note the domain moved from goodfire.ai to goodfire.com. No published email. The research-access programme and Discord are real routes for technical outsiders; there is no channel for raising a concern.",
        "gov_channel": "None formal.",
        "routes": {
          "research-access-request": {
            "label": "Research access request",
            "scope": "Researchers — a genuine route for academics to get tooling access"
          },
          "request-demo": {
            "label": "Request a demo",
            "scope": "Commercial"
          },
          "discord": {
            "label": "Discord",
            "scope": "Anyone"
          },
          "careers": {
            "label": "Careers",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
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            "checked": "2026-09-22"
          },
          {
            "url": "https://www.goodfire.com/request-demo",
            "checked": "2026-09-22"
          },
          {
            "url": "https://discord.com/invite/Rk7mZWkr5g",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.goodfire.com/careers",
            "checked": "2026-09-22"
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        ],
        "needs_research": [
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        ],
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        "research_order": 104,
        "migrated_from": "input/data/institutions.json"
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    },
    {
      "id": "us-ieee-usa-ai-policy-committee",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States (IEEE-USA); IEEE standards work is global."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://ieeeusa.org/committees/aipc/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "47c1a935c9b3"
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        ],
        "perspective": "professional",
        "volunteers": "yes — via IEEE membership and the volunteer committees page",
        "tags": [
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        ],
        "entity_key": "entity-f67f2776-2e57-4d5d-a5cb-1089ea473e2b",
        "roles": [
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        ]
      },
      "strings": {
        "name": "IEEE-USA AI Policy Committee (AIPC)",
        "the_ask": "US AI policy should be grounded in engineering reality: governance and regulation, safety, privacy and cybersecurity, IP protection, transparency, and a workforce pipeline matched to need.",
        "what_they_do": "Assembles IEEE members with AI expertise to write position statements reflecting consensus views of US-based members, which then guide IEEE-USA advocacy with Congress and federal agencies. The wider IEEE Standards Association runs the IEEE 7000 series of ethics-in-design standards and the Global Initiative on Ethics of Autonomous and Intelligent Systems.",
        "newcomer_action": "If you are an IEEE member, email the committee's programme manager (Erica Wissolik, e.wissolik@ieee.org) to ask how to join or contribute to a position statement; read the existing statements first.",
        "tips": "no",
        "geography": "United States (IEEE-USA); IEEE standards work is global.",
        "scale": "IEEE is the world's largest technical professional organisation; the AIPC itself is a small volunteer committee.",
        "spending": "Membership-funded.",
        "caution": "Route in is membership — non-members have essentially no path. Consensus position statements are slow and deliberately moderate; if you want an organisation to say something urgent, this is not the vehicle. The committee page does not spell out the joining process, so email first.",
        "routes": {
          "action": {
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          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
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            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "e7e38f36b7",
        "research_order": 40,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
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    },
    {
      "id": "us-incompas",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://incompas.org/advocacy-policy/artificial-intelligence-competition-center/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "53381d014522"
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        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "join",
          "opposition"
        ],
        "entity_key": "entity-86e93365-7ac7-4910-a4bc-62b8bcf0b609",
        "roles": [
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        ]
      },
      "strings": {
        "name": "INCOMPAS",
        "the_ask": "Clear the way for AI infrastructure — faster siting and permitting for data centres, fibre, subsea cables and power — under 'responsible and innovative AI policy'.",
        "what_they_do": "Trade association rebranded as 'The Competitive Communications and AI Infrastructure Association'; runs an Artificial Intelligence Competition Center and lobbies on infrastructure, siting and energy.",
        "newcomer_action": "Nothing to join unless your company is a member. If you are fighting a local data centre, this is the association arguing the other side at state and federal level.",
        "tips": "no",
        "geography": "United States.",
        "scale": "Mid-sized trade association with a published member list.",
        "spending": "Not published.",
        "caution": "Its AI interest is infrastructure and competition, not model capability — on frontier safety questions it is mostly absent. The concrete conflict is local: data centre siting, water and electricity.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
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            "checked": "2026-09-22"
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        ],
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      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Washington, DC)"
      },
      "facts": {
        "routes": [
          {
            "id": "contact-form",
            "type": "form",
            "value": "https://www.iaps.ai/contact",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "9ceb5c4e6314"
          },
          {
            "id": "media-enquiries-neena-dhillon",
            "type": "email",
            "value": "neena@iaps.ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "2356ece475c8"
          },
          {
            "id": "ai-policy-fellowship",
            "type": "submission",
            "value": "https://www.iaps.ai/fellowship",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "de82a84510de"
          },
          {
            "id": "newsletter",
            "type": "form",
            "value": "https://www.iaps.ai/newsletter",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "87f8c5e6d4d2"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.iaps.ai/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "05f66cd848f0"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "law",
          "research"
        ],
        "entity_key": "entity-6077be8f-d4b2-4392-8f03-44f83d11953a",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Institute for AI Policy and Strategy (IAPS)",
        "remit": "Nonpartisan think tank producing policy research at the intersection of AI, national security and geopolitics. Focus areas include cyber autonomy and offence-defence balance, timely response mechanisms for AI security and public-safety risks, compute access and governance, and US-China strategic competition. Runs an AI Policy Fellowship.",
        "threat_model": "National-security-framed catastrophic risk: AI-enabled cyber and CBRN threats, compute proliferation, and strategic instability. Not a near-term-harms or civil-rights organisation.",
        "reality_check": "Small and focused; the fellowship is the reliable route in. A form-only general contact suggests limited appetite for unsolicited correspondence.",
        "gov_channel": "Strong — DC-based, oriented to congressional and executive-branch audiences, with staff who move between IAPS and government.",
        "routes": {
          "contact-form": {
            "label": "Contact form",
            "scope": "General enquiries",
            "note": "The contact page directs general enquiries to a form; no general email address is published."
          },
          "media-enquiries-neena-dhillon": {
            "label": "Media enquiries — Neena Dhillon",
            "scope": "Press only"
          },
          "ai-policy-fellowship": {
            "label": "AI Policy Fellowship",
            "scope": "Applicants; Spring 2027 cohort applications were open at time of checking",
            "note": "The main open door for an outsider."
          },
          "newsletter": {
            "label": "Newsletter",
            "scope": "Anyone"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.iaps.ai/contact",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.iaps.ai/fellowship",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.iaps.ai/newsletter",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "560313efc2",
        "research_order": 111,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-leading-future",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — federal and increasingly state races."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://aimoneywatch.org/ltf",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "d0031319abff"
          }
        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "join",
          "opposition",
          "tip"
        ],
        "entity_key": "entity-94311988-69cf-4272-8904-d4875e11fe61",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Leading the Future",
        "the_ask": "Elect politicians who will keep AI lightly regulated, and secure a single federal framework that pre-empts state AI laws.",
        "what_they_do": "Super PAC network formed 15 August 2025, led by Zac Moffatt (R) and Josh Vlasto (D). Endorses and spends in both parties' primaries; affiliated vehicles include Build American AI (advocacy nonprofit), American Mission PAC and Think Big PAC. Targeted New York Assemblymember Alex Bores, author of the RAISE Act.",
        "newcomer_action": "Nothing to join — this is the opposition. Look up its spending in your race on AI Money Watch before you vote or volunteer for a candidate.",
        "tips": "no",
        "geography": "United States — federal and increasingly state races.",
        "scale": "Very large relative to every safety organisation on this list combined.",
        "spending": "$100M+ at launch; over $140 million raised per public reporting, with Andreessen Horowitz alone above $50 million by April 2026; FEC-derived tracker shows $75.5M raised and ~$70M cash on hand in January 2026. Funders reported to include a16z, OpenAI president Greg Brockman, Joe Lonsdale and Perplexity.",
        "caution": "UNVERIFIED against the PAC's own site — figures here come from Wikipedia, Forbes, CNBC and the FEC-based AI Money Watch tracker, and 'raised', 'pledged' and 'cash on hand' are different numbers that press coverage often conflates. Reported controversies include an AI-generated news site using fake journalist personas (April 2026), $5,000-per-video payments to influencers pushing a China-threat message (May 2026), and an FEC complaint over shell-company payments (May 2026) — all allegations reported by third parties.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://aimoneywatch.org/ltf",
            "checked": null
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "185e27a17d",
        "research_order": 24,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-machine-intelligence-research-institute",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley/San Francisco)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "contact@intelligence.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "11474090b77a"
          },
          {
            "id": "media",
            "type": "email",
            "value": "media@intelligence.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "f75b00b01040"
          },
          {
            "id": "donations",
            "type": "email",
            "value": "development@intelligence.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "81a27151e559"
          },
          {
            "id": "finance",
            "type": "email",
            "value": "finance@intelligence.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d885184c3318"
          },
          {
            "id": "contact-page",
            "type": "form",
            "value": "https://intelligence.org/contact/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e57eb3ff9d3e"
          },
          {
            "id": "take-action-page",
            "type": "form",
            "value": "https://intelligence.org/act/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "a0e7be434dc4"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://intelligence.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "a03a05af20f2"
          },
          {
            "id": "action",
            "type": "action",
            "value": "https://ifanyonebuildsit.com/act",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e7626ccffd64"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research",
          "join",
          "law"
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "entity_key": "entity-f28d385b-84ff-475a-9355-a093376ab00a",
        "roles": [
          "civil-society",
          "organisation"
        ]
      },
      "strings": {
        "name": "Machine Intelligence Research Institute (MIRI)",
        "remit": "Originally the founding technical alignment research organisation; since 2024 pivoted almost entirely to communications and policy advocacy for an international halt on frontier AI development. Its site states: 'Our survival depends on some form of globally coordinated and collectively enforced moratorium on the development of ASI, as soon as we can, for as long as necessary.' Outputs are now books, essays and briefings rather than alignment papers.",
        "threat_model": "Pure loss-of-control / misalignment extinction risk, and the strongest version of it — MIRI's public position is that technical alignment has failed to keep pace and that a moratorium is the only remaining lever. Zero emphasis on near-term harms.",
        "reality_check": "Reads its mail but is highly selective about engagement, and is not interested in concerns outside its narrow thesis. If your concern is anything other than existential risk from superintelligence, this is the wrong door. Note: the user's list includes 'Machine Intelligence Research' separately — that is MIRI's own name, not a distinct organisation.",
        "gov_channel": "Moderate and growing — MIRI staff brief policymakers and its arguments circulate widely in Washington and Westminster, but it has no formal advisory seat.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "media": {
            "label": "Media",
            "scope": "Press"
          },
          "donations": {
            "label": "Donations",
            "scope": "Donors"
          },
          "finance": {
            "label": "Finance",
            "scope": "Administrative"
          },
          "contact-page": {
            "label": "Contact page",
            "scope": "General"
          },
          "take-action-page": {
            "label": "Take action page",
            "scope": "Supporters"
          },
          "homepage": {
            "label": "Homepage"
          },
          "action": {
            "label": "Action page"
          }
        },
        "the_ask": "A globally coordinated and collectively enforced moratorium on the development of artificial superintelligence, because on current methods the most likely outcome is human extinction.",
        "what_they_do": "Since 2024 primarily a communications and advocacy organisation rather than a technical lab: the book 'If Anyone Builds It, Everyone Dies', the AI StopWatch daily news service, a documentary, and a contact-your-representative tool run off the book's site.",
        "newcomer_action": "Use ifanyonebuildsit.com/act to call, email or post a letter to your representative asking them to push for an international pause; add your name to the pledge to march in Washington DC (the march is contingent on reaching 100,000 pledges).",
        "tips": "no",
        "geography": "United States primarily (the contact tool finds US representatives); global readership.",
        "scale": "Small research-and-comms nonprofit, long-established (founded 2000), donor-funded.",
        "spending": "Not disclosed on the pages checked; accepts donations.",
        "caution": "MIRI's stated position is that building superintelligence with current techniques most likely kills everyone. That is the strongest claim on this list; endorsing it publicly has social and professional costs in some workplaces. The DC march is conditional and may never happen."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://intelligence.org/contact/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://intelligence.org/act/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://ifanyonebuildsit.com/act",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
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        ],
        "legacy_id": "62e31e6847",
        "research_order": 96,
        "migrated_from": "input/data/institutions.json",
        "legacy_ids": [
          "62e31e6847",
          "84e7c5a357"
        ],
        "aliases": [
          "us-machine-intelligence-research-institute-2",
          "Machine Intelligence Research Institute (MIRI)"
        ],
        "redirect_from": [
          {
            "section": "orgs",
            "id": "us-machine-intelligence-research-institute-2"
          }
        ],
        "identity_review": {
          "evidence_urls": [
            "https://intelligence.org/contact/",
            "https://ifanyonebuildsit.com/act"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            },
            {
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              "source_url": "https://ifanyonebuildsit.com/act",
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          ],
          "geo.label": [
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              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
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          ],
          "facts.routes": [
            {
              "record_id": "us-machine-intelligence-research-institute",
              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.region": [
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
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          ],
          "facts.public_input": [
            {
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.tags": [
            {
              "record_id": "us-machine-intelligence-research-institute",
              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.name": [
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.remit": [
            {
              "record_id": "us-machine-intelligence-research-institute",
              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.threat_model": [
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.reality_check": [
            {
              "record_id": "us-machine-intelligence-research-institute",
              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.gov_channel": [
            {
              "record_id": "us-machine-intelligence-research-institute",
              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.routes": [
            {
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              "source_url": "https://intelligence.org/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.perspective": [
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.volunteers": [
            {
              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.the_ask": [
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              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
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              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.newcomer_action": [
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              "record_id": "us-machine-intelligence-research-institute-2",
              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.tips": [
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              "checked_on": "2026-09-22"
            }
          ],
          "strings.geography": [
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              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
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          ],
          "strings.scale": [
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              "checked_on": "2026-09-22"
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          ],
          "strings.spending": [
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              "source_url": "https://ifanyonebuildsit.com/act",
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          ],
          "strings.caution": [
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              "source_url": "https://ifanyonebuildsit.com/act",
              "checked_on": "2026-09-22"
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      }
    },
    {
      "id": "us-metr",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "info@metr.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "d55ee2bd8736"
          },
          {
            "id": "press",
            "type": "email",
            "value": "press@metr.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "7bb5c0c0a76c"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://metr.org/careers",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "5eb9b6821722"
          },
          {
            "id": "research-updates",
            "type": "form",
            "value": "https://metr.substack.com",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "68b0f3acfb14"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://metr.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "6a2b9020d0f6"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
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          "research"
        ],
        "entity_key": "entity-81145c5b-2057-47bb-b5fe-e271bc39f104",
        "roles": [
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        ]
      },
      "strings": {
        "name": "METR (Model Evaluation & Threat Research)",
        "remit": "Research non-profit that evaluates frontier models for autonomous and dangerous capabilities and publishes the results. Best known for the time-horizon metric (length of task an agent can complete at 50% reliability), pre-deployment evaluations for OpenAI and Anthropic, and work on threats to evaluation integrity — generalised reward hacking and sandbagging. Formerly ARC Evals.",
        "threat_model": "Dangerous autonomous capability and loss of control: autonomous replication, rogue deployment inside a lab, automated AI R&D acceleration, sabotage, and the meta-problem that models may deliberately underperform on evaluations.",
        "reality_check": "Credible and influential well beyond its size, but heavily capacity-constrained and bound by NDAs with the labs it evaluates. A general inbox, no tip line. It will not act as a whistleblowing channel.",
        "gov_channel": "Strong — METR's evaluations are referenced in frontier-lab safety frameworks and by the US and UK safety/security institutes; its time-horizon results are widely cited in policy.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "press": {
            "label": "Press",
            "scope": "Media"
          },
          "careers": {
            "label": "Careers",
            "scope": "Researchers and engineers",
            "note": "METR also runs paid contractor/baseliner work for task development, which is an unusual paid entry route for technical outsiders."
          },
          "research-updates": {
            "label": "Research updates",
            "scope": "Anyone"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://metr.org/careers",
            "checked": "2026-09-22"
          },
          {
            "url": "https://metr.substack.com",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "ab3ca9f121",
        "research_order": 99,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-mit-ai-alignment",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (Cambridge, MA)"
      },
      "facts": {
        "routes": [
          {
            "id": "programmes-application-information",
            "type": "form",
            "value": "https://www.mitalignment.org/",
            "verified": false,
            "verification_method": "secondary_citation",
            "verified_on": null,
            "source_id": "e060b7d17e38"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.mitalignment.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "ddb2994c2e49"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-36aaa0ed-d4d0-4489-bf4d-dbbdf9548f45",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "MIT AI Alignment (MAIA)",
        "remit": "Student-and-researcher group at MIT running AI alignment education and research programmes — reading groups, technical bootcamps and supported research projects, feeding students into alignment research careers. Closely associated with MIT's Algorithmic Alignment Group.",
        "threat_model": "Technical alignment and loss of control — interpretability, evaluations, and scalable oversight.",
        "reality_check": "A student organisation, primarily serving MIT and Harvard affiliates. Not a channel for outside concerns; it is a talent-pipeline programme. UNVERIFIED across the board — I could not fetch the site.",
        "gov_channel": "None.",
        "routes": {
          "programmes-application-information": {
            "label": "Programmes and application information",
            "scope": "Primarily MIT and Harvard students",
            "note": "UNVERIFIED — the site returned a 403 to automated fetching at time of checking. Do not assume an email exists; check the site in a browser."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.mitalignment.org/",
            "checked": null
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "0d5ba446e5",
        "research_order": 133,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-national-education-association",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.nea.org/ai",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "1041c51846c1"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — members only",
        "tags": [
          "join",
          "tip"
        ],
        "entity_key": "entity-7b2bc0ec-ef1e-465a-8c35-ae073750b88d",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "National Education Association (NEA)",
        "the_ask": "AI in schools must be equitable, ethical and educator-led — with data privacy safeguards, rigorous vetting of tools for bias and effectiveness, and meaningful educator involvement in every adoption decision.",
        "what_they_do": "Adopted an AI policy statement and task force report; publishes vetting guides, a classroom AI glossary, accessibility and multilingual-learner guidance, micro-credentials in AI ethics and responsible use; provides sample school board resolutions and template letters to state education departments; runs an Action Center for advocacy.",
        "newcomer_action": "Take the sample school board resolution to your next board meeting, or send the template letter to your state department of education asking for a chief privacy officer and an AI vetting standard. Start a micro-credential.",
        "tips": "no",
        "geography": "United States.",
        "scale": "The largest labour union in the United States (roughly three million members).",
        "spending": "Membership funded; substantial state and federal lobbying.",
        "caution": "Its ask is governance of classroom AI, not restrictions on AI development. Its guidance has drawn political attack over equity provisions, so expect the school board conversation to be contested. Members-only routes.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.nea.org/ai",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "097fe91dc5",
        "research_order": 44,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-nyu-alignment-research-group",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (New York)"
      },
      "facts": {
        "routes": [
          {
            "id": "people-page-only-contact",
            "type": "form",
            "value": "https://wp.nyu.edu/arg/people/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ed54064512ac"
          },
          {
            "id": "blog-why-ai-safety",
            "type": "form",
            "value": "https://wp.nyu.edu/arg/why-ai-safety/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "e8ada9075526"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://wp.nyu.edu/arg/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "e0a607462ce6"
          }
        ],
        "region": "United States",
        "public_input": "none",
        "tags": [
          "research"
        ],
        "entity_key": "entity-869ef0fb-83e9-4634-8b50-1245c7f5fedc",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "NYU Alignment Research Group (ARG)",
        "remit": "A set of NYU researchers doing empirical work with language models aimed at longer-term concerns about deploying highly capable AI. Associated with Sam Bowman's group and collaborating across NYU's ML2, CILVR, the Center for Data Science and the Department of Linguistics. Known for work on debate and scalable oversight, chain-of-thought faithfulness, and benchmarks that resist saturation.",
        "threat_model": "Scalable oversight and honesty — how humans supervise models that exceed them, and whether stated model reasoning reflects actual computation. Alignment-focused, empirical rather than theoretical.",
        "reality_check": "Effectively closed as an institution — it is a loose grouping of academics, not an entity with an inbox. Contact individual faculty via their NYU pages. Several ARG-affiliated researchers have since moved to frontier labs, so the group is less central than it was.",
        "gov_channel": "None directly.",
        "routes": {
          "people-page-only-contact": {
            "label": "People page — the only contact route is individual researchers",
            "scope": "Researchers",
            "note": "No group-level email or contact form is published anywhere on the site."
          },
          "blog-why-ai-safety": {
            "label": "Blog and 'why AI safety' introduction",
            "scope": "Public"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://wp.nyu.edu/arg/people/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://wp.nyu.edu/arg/why-ai-safety/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "b9f23afb5e",
        "research_order": 138,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-pauseai-us",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States; local groups nationwide."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.pauseai-us.org/takeaction/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "1848aab7991d"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "yes",
        "tags": [
          "fund",
          "join",
          "law"
        ],
        "entity_key": "entity-ac73dd33-d20a-4bf1-8001-e4a3c8064e6c",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "PauseAI US",
        "the_ask": "The United States should lead an international treaty to pause frontier AI development, and should pass domestic bills including a 'kill switch' and an AI Risk Evaluation Act.",
        "what_they_do": "Grassroots lobbying (trains volunteers then arranges constituent meetings with members of Congress), petitions, local groups, protests outside OpenAI and Anthropic offices, film screenings and educational events.",
        "newcomer_action": "Sign the treaty petition, send the pre-written emails on the AI Risk Evaluation Act and Kill Switch Act, then apply via the lobbying form to be trained and matched to a meeting with your representative.",
        "tips": "unclear — general contact only (contact@pauseai-us.org)",
        "geography": "United States; local groups nationwide.",
        "scale": "Small 501(c)(3) (EIN 99-0899650, San Francisco). Median donation about $100 — a genuinely small-donor, volunteer-driven operation.",
        "spending": "Not disclosed; donations via Zeffy.",
        "caution": "Legally and financially separate from PauseAI Global (Dutch foundation) and PauseAI UK — a US 501(c)(3) with its own EIN and board. Shares the movement's name and broad ask but sets its own US legislative priorities. The ask is a development pause, which most US lawmakers do not currently support; expect to be advocating a minority position.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.pauseai-us.org/takeaction/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "168ca01673",
        "research_order": 2,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-public-citizen",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Washington, DC)"
      },
      "facts": {
        "routes": [
          {
            "id": "contact-page",
            "type": "form",
            "value": "https://www.citizen.org/about/contact/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "6174c911eb9a"
          },
          {
            "id": "take-action-petitions-comment",
            "type": "form",
            "value": "https://act.citizen.org/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "295262e34dc1"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.citizen.org/topic/artificial-intelligence/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "e3db0eb0ea1a"
          },
          {
            "id": "action",
            "type": "action",
            "value": "https://www.citizen.org/topic/artificial-intelligence/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ad7f4231e3ed"
          }
        ],
        "region": "United States",
        "public_input": "open",
        "tags": [
          "harm",
          "law",
          "research",
          "audit",
          "join"
        ],
        "perspective": "civil-liberties",
        "volunteers": "yes",
        "entity_key": "entity-89ec4c3d-3eed-44f8-b444-4b38ded0f24f",
        "roles": [
          "civil-society",
          "organisation"
        ]
      },
      "strings": {
        "name": "Public Citizen",
        "remit": "Consumer advocacy organisation. AI work covers generative AI risks to consumers and democracy, model state AI legislation, campaigns against non-consensual deepfakes and political deepfakes, data-centre environmental and utility-cost impacts, AI companion products aimed at minors, and opposition to federal preemption of state AI laws. Maintains a tracker of state deepfake legislation.",
        "threat_model": "Near-term consumer protection and democratic integrity — deepfakes in elections, corporate accountability, environmental externalities of compute. Populist/consumer framing, not technical risk.",
        "reality_check": "Large, campaign-driven and genuinely populist in orientation — more willing than most DC organisations to take up an ordinary person's complaint if it illustrates a systemic pattern. Scope is consumer and democratic harm only.",
        "gov_channel": "Strong — long-standing congressional and regulatory presence, petitions agencies (FEC on political deepfakes, FTC on AI harms) and drafts state model bills.",
        "routes": {
          "contact-page": {
            "label": "Contact page",
            "scope": "Anyone; Public Citizen has historically been receptive to consumer complaints that can seed campaigns",
            "note": "No topic-specific email published on the AI page."
          },
          "take-action-petitions-comment": {
            "label": "Take action — petitions and comment drives",
            "scope": "Anyone"
          },
          "homepage": {
            "label": "Homepage"
          },
          "action": {
            "label": "Action page"
          }
        },
        "the_ask": "Treat generative AI as a present danger: block federal deregulation and pre-emption of state AI laws, stop non-consensual AI images, and halt unchecked data centre build-out.",
        "what_they_do": "Consumer advocacy, litigation and petitions. Live campaigns include a petition against congressional AI deregulation, a petition on non-consensual AI images, and a letter urging a Texas data centre moratorium.",
        "newcomer_action": "Sign the petition against congressional AI deregulation (act.citizen.org/page/83712/petition/1) — it takes two minutes — and join the updates list.",
        "tips": "unclear — no dedicated AI whistleblower line found",
        "geography": "United States, federal and state.",
        "scale": "Large, long-established (founded 1971) with lobbying, litigation and research arms.",
        "spending": "Member and donation funded.",
        "caution": "Frames AI harm as consumer, labour and democratic harm happening now — it is generally dismissive of framing centred on future superintelligence. If you arrived via extinction-risk arguments, expect a different vocabulary."
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.citizen.org/about/contact/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://act.citizen.org/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://www.citizen.org/topic/artificial-intelligence/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "9463478f1d",
        "research_order": 120,
        "migrated_from": "input/data/institutions.json",
        "legacy_ids": [
          "9463478f1d",
          "341301b009"
        ],
        "aliases": [
          "us-public-citizen-2",
          "Public Citizen"
        ],
        "redirect_from": [
          {
            "section": "orgs",
            "id": "us-public-citizen-2"
          }
        ],
        "identity_review": {
          "evidence_urls": [
            "https://www.citizen.org/about/contact/",
            "https://www.citizen.org/topic/artificial-intelligence/"
          ],
          "reviewed_by": "codex:source-review-2026-09-24",
          "approved_by": "owner:autonomous-implementation-request-2026-09-24",
          "reviewed_on": "2026-09-24",
          "review_by": "2027-03-23",
          "note": "The records describe one real-world entity; preserve complementary facts and retire the non-canonical public id."
        },
        "merge_provenance": {
          "geo.country": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "geo.label": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.routes": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.region": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.public_input": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.tags": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.name": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.remit": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.threat_model": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.reality_check": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.gov_channel": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.routes": [
            {
              "record_id": "us-public-citizen",
              "source_url": "https://www.citizen.org/about/contact/",
              "checked_on": "2026-09-22"
            },
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.perspective": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "facts.volunteers": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.the_ask": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.what_they_do": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.newcomer_action": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.tips": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.geography": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.scale": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.spending": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ],
          "strings.caution": [
            {
              "record_id": "us-public-citizen-2",
              "source_url": "https://www.citizen.org/topic/artificial-intelligence/",
              "checked_on": "2026-09-22"
            }
          ]
        }
      }
    },
    {
      "id": "us-public-first-action-public-first-pac",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — federal and state races."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://publicfirstaction.us/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "c9c3abc20182"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law",
          "tip"
        ],
        "entity_key": "entity-1dfa654f-17e0-4e21-ad7a-89b8d6e53cbc",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Public First Action / Public First PAC",
        "the_ask": "Elect and pressure federal and state politicians to back AI safeguards for children, workers and the public, stronger semiconductor export controls, and transparency from leading AI labs — and to resist federal pre-emption of state AI laws.",
        "what_they_do": "A 501(c)(4) plus three affiliated super PACs (Public First PAC, Jobs and Democracy PAC, Defending Our Values PAC). Led by former Reps. Chris Stewart (R-Utah) and Brad Carson (D-Okla.). This is the pro-safeguards electoral counterweight to Leading the Future.",
        "newcomer_action": "Donate to whichever entity fits your politics, or fill in the questionnaire to make contact; candidates can seek its endorsement.",
        "tips": "unclear",
        "geography": "United States — federal and state races.",
        "scale": "New (2025-26) and small relative to the industry PACs.",
        "spending": "Reported by Forbes as expecting to raise at least $50 million for the 2026 cycle, against Leading the Future's $100M+ launch — roughly a 1:2 to 1:3 disadvantage before Meta's separate spending is counted. Figure is third-party; treat as UNVERIFIED against its own filings.",
        "caution": "This is partisan electoral money on both sides of the aisle, not charity — donations are not tax-deductible and will be spent attacking and supporting candidates. Reported to be backed by Anthropic employees and executives, which means an AI company's staff are funding one side of the AI safety fight; weigh that.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://publicfirstaction.us/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "489d1d3fff",
        "research_order": 22,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-redwood-research",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley)"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "info@rdwrs.com",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "cf0c34e320a4"
          },
          {
            "id": "research-engagement-via-public",
            "type": "submission",
            "value": "https://www.redwoodresearch.org/research",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "549d1bbacf61"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://www.redwoodresearch.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "90477836982d"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "harm",
          "research"
        ],
        "entity_key": "entity-89f1ebcc-e486-4e56-ae7c-1de0c84abaca",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Redwood Research",
        "remit": "Non-profit research organisation that effectively founded the 'AI control' agenda: designing and red-teaming protocols that keep deployments safe even if the model is actively trying to subvert them. Known for control evaluations, monitoring protocols for malign LLM agents, the alignment-faking work with Anthropic, and helping developers build safety cases.",
        "threat_model": "Intentional misalignment and scheming — models that purposefully act against their developers' interests. Distinctively assumes alignment may fail and asks what safety measures survive that assumption. Loss-of-control, not misuse or near-term harms.",
        "reality_check": "Small and technically serious; will engage substantively with a good technical argument, and its researchers are notably responsive in public research forums. Will not engage with policy complaints or non-technical concerns.",
        "gov_channel": "Indirect — AI control has been adopted into frontier-lab safety frameworks and cited in safety-institute work; Redwood advises labs rather than governments.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone",
            "note": "Note the unusual domain — rdwrs.com, not redwoodresearch.org."
          },
          "research-engagement-via-public": {
            "label": "Research engagement via public writing",
            "scope": "Researchers",
            "note": "Redwood staff engage actively and publicly on the Alignment Forum and LessWrong — in practice the highest-bandwidth way to reach them with a technical argument."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.redwoodresearch.org/research",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "b06fb03244",
        "research_order": 97,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-resolution",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States (Berkeley HQ), with London and Melbourne presence"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "hello@resolution.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "9bc96c8b6562"
          },
          {
            "id": "careers",
            "type": "form",
            "value": "https://resolution.org/careers",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "1ad9147ba713"
          },
          {
            "id": "launch-announcement",
            "type": "form",
            "value": "https://resolution.org/launch/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "b16eb9d8958a"
          },
          {
            "id": "legacy-timaeus-site",
            "type": "form",
            "value": "https://timaeus.co/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "a9a94701dec3"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://resolution.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "3afa8e38a670"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-72f093f7-00b2-4f46-94ec-00b4bcefc793",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Resolution (formerly Timaeus; launched as Sequent)",
        "remit": "Non-profit alignment research organisation formed by merging researchers from Timaeus (which pioneered applying singular learning theory to alignment and developmental interpretability) with the UK AI Security Institute's Alignment Team. Launched under the name Sequent, then rebranded to Resolution. Portfolio spans scalable oversight, learning theory (SLT, deep learning theory), mechanistic understanding and heuristic arguments, agent foundations, and model personas — with heavy investment in automating alignment research. Targeting 40–80 FTE researchers within two years.",
        "threat_model": "Misalignment and loss of control, approached through theory. The explicit bet is that theory unlocks automation of alignment research before capabilities outrun it.",
        "reality_check": "Brand-new and actively hiring, which makes it unusually open to technical newcomers right now. IMPORTANT for routing: do not address correspondence to 'Timaeus' — that name is retired. The SLT research community around it has historically been very welcoming to outside contributors via Discord and open seminars.",
        "gov_channel": "Indirect via the UK AISI alumni network; no formal advisory seat.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "careers": {
            "label": "Careers",
            "scope": "Researchers"
          },
          "launch-announcement": {
            "label": "Launch announcement (explains the Timaeus/Sequent lineage)",
            "scope": "Reference"
          },
          "legacy-timaeus-site": {
            "label": "Legacy Timaeus site (redirects/announces the rebrand), Discord and GitHub",
            "scope": "Legacy community",
            "note": "timaeus.co now carries the banner 'Timaeus is now Resolution'. The old Timaeus Discord and github.com/timaeus-research remain the community entry points for SLT work."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://resolution.org/careers",
            "checked": "2026-09-22"
          },
          {
            "url": "https://resolution.org/launch/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://timaeus.co/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "f3e86b053b",
        "research_order": 101,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-sag-aftra",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://actionnetwork.org/petitions/support-the-no-fakes-act/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "b84272f53746"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — members through locals and committees",
        "tags": [
          "join",
          "tip"
        ],
        "entity_key": "entity-84692e5d-6ca8-447c-b019-1ae55ff3ffe5",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "SAG-AFTRA",
        "the_ask": "Performers must control their own voice and likeness: informed consent and compensation for digital replicas in contracts, and a federal right for all Americans to control their likeness and voice via the NO FAKES Act.",
        "what_they_do": "Negotiates AI terms into film, TV, commercial, audiobook and video game contracts; lobbies Congress and state legislatures (it backed California's law requiring disclosure of AI-generated performances in advertising); enforces contract terms for members.",
        "newcomer_action": "Sign the NO FAKES Act petition today (open to the public, not just members); if you are a member, report any unauthorised AI use of your voice or likeness to the union.",
        "tips": "yes — members can report contract violations to the union",
        "geography": "United States.",
        "scale": "Large union (around 160,000 members) with real bargaining power and a proven willingness to strike over AI.",
        "spending": "Membership and dues funded.",
        "caution": "Its ask is control and consent over likeness, not limits on AI capability. The NO FAKES Act is contested by some digital rights groups (including EFF) as a broad new IP right that could restrict speech — you are picking a side in that argument by signing.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://actionnetwork.org/petitions/support-the-no-fakes-act/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "53190f6df1",
        "research_order": 46,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-secure-ai-project",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States, with a strong California state focus. Address: 584 Castro Street #3160, San Francisco."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://secureaiproject.org/bills-we-support",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "5e13c4e4d395"
          }
        ],
        "perspective": "safety-advocacy",
        "volunteers": "unclear",
        "tags": [
          "fund",
          "join",
          "law"
        ],
        "entity_key": "entity-07d98561-f6ef-4ea3-9327-40a0c884b6ea",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Secure AI Project",
        "the_ask": "Adopt policies that reduce the risk of severe harm from advanced AI, built on transparency, accountability and safe development.",
        "what_they_do": "Drafts and advocates for specific bills — notably associated with California SB 53 — and publishes a list of bills it supports. Staff include Thomas Woodside.",
        "newcomer_action": "Read the 'bills we support' page, then write to your California or federal legislator citing it; donate; contact them if you have drafting or technical expertise.",
        "tips": "unclear",
        "geography": "United States, with a strong California state focus. Address: 584 Castro Street #3160, San Francisco.",
        "scale": "Very small. Its own site names no team, which is itself a signal about size.",
        "spending": "Not disclosed.",
        "caution": "Its own website discloses no team, no board and no budget — you would be donating to an organisation whose scale is not public. Its ask is targeted transparency legislation, not a pause.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://secureaiproject.org/bills-we-support",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "a8f7f7be83",
        "research_order": 17,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-stanford-center-research-foundation-models",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (Stanford, within HAI)"
      },
      "facts": {
        "routes": [
          {
            "id": "helm-open-benchmark-models",
            "type": "submission",
            "value": "https://crfm.stanford.edu/helm/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "54a76d3dd6c0"
          },
          {
            "id": "foundation-model-transparency-index",
            "type": "submission",
            "value": "https://crfm.stanford.edu/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "7844229bd0b1"
          },
          {
            "id": "people-directory-practical-contact",
            "type": "form",
            "value": "https://crfm.stanford.edu/people.html",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "563fbc4df604"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://crfm.stanford.edu/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "39f4aa264631"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "research"
        ],
        "entity_key": "entity-f03a8cfb-87c7-4e9b-9b2d-0860cc1aaa6c",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Stanford Center for Research on Foundation Models (CRFM)",
        "remit": "Interdisciplinary centre spanning 10+ Stanford departments. Coined the term 'foundation models'. Outputs include HELM (Holistic Evaluation of Language Models — a widely used open benchmark suite), the Foundation Model Transparency Index (FMTI, which grades developers on transparency), Ecosystem Graphs, and Levanter. Works across technical foundations, beneficial applications, societal impact (transparency, openness, copyright, privacy, systemic risk) and AI policy.",
        "threat_model": "Systemic risk from homogenisation and opacity — the founding thesis is that a small number of foundation models become single points of failure across society. Transparency-centred. Covers near-term and structural risk; touches systemic risk but not loss of control.",
        "reality_check": "No centre-level inbox at all. Everything runs through named researchers or through open-source contribution to HELM, which is the genuinely open channel.",
        "gov_channel": "Real — CRFM has filed influential comments in US and EU processes (notably on the EU AI Act and on open foundation models) and its transparency work is cited by regulators.",
        "routes": {
          "helm-open-benchmark-models": {
            "label": "HELM — open benchmark; models and scenarios can be contributed via GitHub",
            "scope": "Researchers",
            "note": "HELM is open source; contributing an evaluation scenario is a real route to influence how models are publicly measured."
          },
          "foundation-model-transparency-index": {
            "label": "Foundation Model Transparency Index — developers respond to it, and the methodology is public",
            "scope": "Researchers and developers",
            "note": "UNVERIFIED: no public submission form for FMTI input was found."
          },
          "people-directory-practical-contact": {
            "label": "People directory — the practical contact route is an individual researcher",
            "scope": "General",
            "note": "No centre-level contact email is published."
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://crfm.stanford.edu/helm/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://crfm.stanford.edu/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://crfm.stanford.edu/people.html",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "f0bf9dc429",
        "research_order": 132,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-stanford-institute-human-centered-ai",
      "type": "academic",
      "geo": {
        "country": "us",
        "label": "United States (Stanford, California)"
      },
      "facts": {
        "routes": [
          {
            "id": "contact-form",
            "type": "form",
            "value": "https://hai.stanford.edu/contact-us",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "f1b695679832"
          },
          {
            "id": "get-involved",
            "type": "form",
            "value": "https://hai.stanford.edu/about/get-involved",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "56c9b9bf4a8c"
          },
          {
            "id": "ai-index-accepts-data",
            "type": "submission",
            "value": "https://hai.stanford.edu/ai-index",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "30c7c777224d"
          },
          {
            "id": "policy-publications",
            "type": "form",
            "value": "https://hai.stanford.edu/policy/publications",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ee8df060f40e"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://hai.stanford.edu/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "25f5e5ac7e7d"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "law",
          "research"
        ],
        "entity_key": "entity-efdd31a5-6847-426f-b682-923e18821b7d",
        "roles": [
          "academic"
        ]
      },
      "strings": {
        "name": "Stanford Institute for Human-Centered AI (HAI)",
        "remit": "University institute spanning research, policy and education. Publishes the AI Index (the most-cited annual measurement of AI progress, with the Global Vibrancy Tool), policy briefs, and runs policymaker education including Congressional Boot Camps for members and staff. Houses CRFM (see separate entry) and a large fellowship and seed-grant programme.",
        "threat_model": "Human-centred and broad: augmentation over replacement, healthcare, equity, governance capacity. The AI Index is deliberately descriptive rather than risk-framed. Not an alignment institute.",
        "reality_check": "Large, prestigious, form-only. Unsolicited outside input is very unlikely to get traction; the productive route is to reach an individual faculty affiliate directly through their Stanford page.",
        "gov_channel": "Strong — the Congressional Boot Camp is a rare structured channel into US legislative staff, and HAI scholars testify regularly.",
        "routes": {
          "contact-form": {
            "label": "Contact form",
            "scope": "General enquiries",
            "note": "No public email addresses are listed; only a form."
          },
          "get-involved": {
            "label": "Get involved",
            "scope": "Affiliates, fellows, partners"
          },
          "ai-index-accepts-data": {
            "label": "AI Index — accepts data and methodology input between editions",
            "scope": "Researchers with relevant datasets",
            "note": "UNVERIFIED: a formal open call for AI Index contributions was not confirmed; contact via the form."
          },
          "policy-publications": {
            "label": "Policy publications",
            "scope": "Public"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://hai.stanford.edu/contact-us",
            "checked": "2026-09-22"
          },
          {
            "url": "https://hai.stanford.edu/about/get-involved",
            "checked": "2026-09-22"
          },
          {
            "url": "https://hai.stanford.edu/ai-index",
            "checked": "2026-09-22"
          },
          {
            "url": "https://hai.stanford.edu/policy/publications",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "a14b1f865a",
        "research_order": 131,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-technet",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States — federal and all major state capitals."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.technet.org/issues/artificial-intelligence/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "3d7f0d25cf19"
          }
        ],
        "perspective": "industry-lobby",
        "volunteers": "no",
        "tags": [
          "fund",
          "join",
          "opposition"
        ],
        "entity_key": "entity-3a24e74e-e3f7-4133-a65d-d937b13dae7f",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "TechNet",
        "the_ask": "Congress should pass a narrow, risk-based federal AI framework that pre-empts state AI laws, without private rights of action or mandatory independent audits.",
        "what_they_do": "Trade association lobbying for major AI developers and deployers; state and federal advocacy; runs the AI for America campaign (ai4america.com). Its own policy page states that 'federal preemption of state laws and regulations is needed to prevent a patchwork'.",
        "newcomer_action": "Nothing to join unless you are a company. Read its stated positions before a state hearing — it is usually the most organised voice in the room opposing state AI bills.",
        "tips": "no",
        "geography": "United States — federal and all major state capitals.",
        "scale": "Large, professionally staffed trade association with state directors.",
        "spending": "Not published on its own site.",
        "caution": "Stated fairly: TechNet is not anti-safety in its own framing — it supports the voluntary NIST AI Risk Management Framework and sector-specific laws. What it actively opposes is state-level binding rules, private lawsuits and mandatory audits. Its member list is at technet.org/our-story/members/.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.technet.org/issues/artificial-intelligence/",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "6355a64d7d",
        "research_order": 27,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    },
    {
      "id": "us-transluce",
      "type": "civil-society",
      "geo": {
        "country": "us",
        "label": "United States"
      },
      "facts": {
        "routes": [
          {
            "id": "general-enquiries",
            "type": "email",
            "value": "info@transluce.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "bcc4f929fd61"
          },
          {
            "id": "behaviour-reports-public-catalogue",
            "type": "submission",
            "value": "https://behaviors.transluce.org",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "8d394f2806ce"
          },
          {
            "id": "docent-platform-open-source",
            "type": "submission",
            "value": "https://transluce.org/docent",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "718f23dd4bb4"
          },
          {
            "id": "github",
            "type": "submission",
            "value": "https://github.com/TransluceAI/",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "ee69d26ea261"
          },
          {
            "id": "jobs",
            "type": "form",
            "value": "https://jobs.gem.com/transluce",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "a94faa870453"
          },
          {
            "id": "homepage",
            "type": "homepage",
            "value": "https://transluce.org/",
            "verified": null,
            "verification_method": "listed_not_independently_checked",
            "verified_on": null,
            "source_id": "9efec3d0c155"
          }
        ],
        "region": "United States",
        "public_input": "limited",
        "tags": [
          "behaviour",
          "research"
        ],
        "entity_key": "entity-f08f68f7-065b-44cd-97c3-e82f3288ff75",
        "roles": [
          "civil-society"
        ]
      },
      "strings": {
        "name": "Transluce",
        "remit": "Non-profit research lab building, in its words, 'the public tech stack for scalable oversight of AI'. Outputs include Docent (a platform for understanding model behaviours at scale), public behaviour reports (e.g. evaluating model responses in mental-health crisis scenarios), and research on activation oracles and surfacing behaviours third parties should monitor.",
        "threat_model": "Oversight capability gap — the concern that no one outside the labs has tooling to audit model behaviour. Spans near-term behavioural harms (crisis response, deception in deployment) and scalable-oversight/alignment concerns. Deliberately public-interest rather than x-risk framed.",
        "reality_check": "Small, open-source-first, and explicitly building infrastructure for outsiders to audit models — one of the better-aligned targets if your concern is a specific observed model behaviour you can document. Responsive relative to its size.",
        "gov_channel": "Indirect — its public behaviour reports have driven press coverage and company responses.",
        "routes": {
          "general-enquiries": {
            "label": "General enquiries",
            "scope": "Anyone"
          },
          "behaviour-reports-public-catalogue": {
            "label": "Behaviour reports — public catalogue of surfaced model behaviours",
            "scope": "Public read; UNVERIFIED whether outside submissions are accepted",
            "note": "Worth checking for a submission route — the framing is explicitly about what third parties should monitor."
          },
          "docent-platform-open-source": {
            "label": "Docent platform and open-source tooling",
            "scope": "Researchers"
          },
          "github": {
            "label": "GitHub",
            "scope": "Anyone"
          },
          "jobs": {
            "label": "Jobs",
            "scope": "Applicants"
          },
          "homepage": {
            "label": "Homepage"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://behaviors.transluce.org",
            "checked": "2026-09-22"
          },
          {
            "url": "https://transluce.org/docent",
            "checked": "2026-09-22"
          },
          {
            "url": "https://github.com/TransluceAI/",
            "checked": "2026-09-22"
          },
          {
            "url": "https://jobs.gem.com/transluce",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "9c9b91f2af",
        "research_order": 105,
        "migrated_from": "input/data/institutions.json"
      }
    },
    {
      "id": "us-writers-guild-america",
      "type": "organisation",
      "geo": {
        "country": "us",
        "label": "United States (film, TV and new media)."
      },
      "facts": {
        "routes": [
          {
            "id": "action",
            "type": "action",
            "value": "https://www.wga.org/contracts/know-your-rights/artificial-intelligence",
            "verified": true,
            "verification_method": "fetched_source_page",
            "verified_on": "2026-09-22",
            "source_id": "207b9fa71ac1"
          }
        ],
        "perspective": "professional",
        "volunteers": "yes — members only",
        "tags": [
          "join",
          "tip"
        ],
        "entity_key": "entity-03459690-b27b-4dc7-a6be-105054821ef2",
        "roles": [
          "organisation"
        ]
      },
      "strings": {
        "name": "Writers Guild of America (WGA West/East)",
        "the_ask": "AI cannot write or rewrite literary material, cannot be credited, and cannot be used to undermine writers' credit or compensation — terms won in the 2023 Minimum Basic Agreement after a 148-day strike.",
        "what_they_do": "Negotiates and enforces the MBA's AI provisions; maintains Know Your Rights guidance on AI; provides legal services to members; runs a violation reporting route.",
        "newcomer_action": "If you are a member and a studio used AI on your material, file through Report a Violation. If you are not, read the AI Know Your Rights page — it is the clearest published example of enforceable AI contract language anyone has won.",
        "tips": "yes — Report a Violation, members only",
        "geography": "United States (film, TV and new media).",
        "scale": "Mid-sized union with outsized leverage in its industry.",
        "spending": "Membership funded.",
        "caution": "Protections apply only to work covered by the MBA — non-union writing, and most AI training on already-published scripts, is not covered. Enforcement depends on writers actually reporting.",
        "routes": {
          "action": {
            "label": "Action page"
          }
        }
      },
      "meta": {
        "verified_on": "2026-09-22",
        "review_by": "2027-03-21",
        "sources": [
          {
            "url": "https://www.wga.org/contracts/know-your-rights/artificial-intelligence",
            "checked": "2026-09-22"
          }
        ],
        "needs_research": [
          "topics"
        ],
        "legacy_id": "a1dfe8d29e",
        "research_order": 47,
        "migrated_from": "input/data/committees-and-organisations.json#orgs"
      }
    }
  ]
}