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Organisations

Center for AI Safety (CAIS)

Type
Civil society organisation
Lieu
États-Unis — United States (San Francisco)
Dernière vérification
2026-09-22
Prochaine vérification
2027-03-21

Pas encore traduit — affiché en anglais.

Comment les joindre

  • General enquiries · Email address
    Vérifié · 2026-09-22

    Anyone

  • Media · Email address
    Vérifié · 2026-09-22

    Press

  • Compute cluster access for ML safety researchers — a concrete resource for unaffiliated researchers · Official membership list
    Vérification expirée · 2026-09-22

    Ce canal est conservé uniquement comme référence. Sa vérification est absente, date de plus de 180 jours, ou la période de contact n'est pas ouverte actuellement ; ne vous y fiez pas avant une nouvelle vérification.

    Safety researchers

    Free GPU access is a real and unusual offer to outsiders.

  • Careers and fellowships · Web form
    Vérifié · 2026-09-22

    Applicants

  • Homepage · Homepage
    Non contrôlé

Ce qu'il fait

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.

Évaluation franche

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.

Préoccupations couvertes

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.

Canal gouvernemental

Strong via its Action Fund (see separate entry); CAIS itself was closely involved in California SB 1047 and subsequent state legislation.

Sources

Une erreur ?