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Organisations

Algorithmic Justice League (AJL)

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

Pas encore traduit — affiché en anglais.

Comment les joindre

  • Report an AI harm / share your story — a genuine public harm intake · Written submission
    Vérifié · 2026-09-22

    Anyone who has experienced or witnessed algorithmic harm

    One of the very few public-facing harm-reporting channels run by a civil society organisation. If a person has been harmed by a deployed system, this is a primary route.

  • General contact · Web form
    Vérifié · 2026-09-22

    General

    No public email address listed.

  • Newsletter · Web form
    Vérifié · 2026-09-22

    Anyone

  • Homepage · Homepage
    Non contrôlé
  • Action page · Organisation's own action page
    Vérifié · 2026-09-22

Ce qu'il fait

Founded by Joy Buolamwini. Combines art, research and advocacy to expose AI bias and harm — the Gender Shades audits of facial recognition, the Coded Bias documentary, and campaigns against biometric surveillance. Operates a public harm-reporting platform and builds the voice of the most-impacted communities.

Ce qu'ils demandent — dans leurs propres termes

Stop AI harms and bias — especially from facial recognition and biometric systems — by centring the people most affected and giving them a way to report what happened to them.

Ce qu'ils font

Research, art and advocacy founded by Joy Buolamwini; runs report.ajl.org to collect public accounts of AI harm, campaigns such as #FreedomFlyers on TSA facial recognition, and equips advocates with empirical research.

Évaluation franche

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.

Ce qu'un nouveau venu peut faire

If an AI system has harmed you — a facial recognition misidentification, an airport scan, a rejected application — file it at report.ajl.org this week. Otherwise take an action from the Take Action page.

Bon à savoir

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.

Préoccupations couvertes

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.

Canal gouvernemental

Real — AJL research has directly driven municipal facial-recognition bans, FTC and congressional attention, and corporate product withdrawals (IBM, Amazon, Microsoft facial recognition).

Conseils

yes — report.ajl.org is an explicit public harm-reporting channel

Où ils agissent

United States primarily, international reach.

Taille

Small organisation with very large cultural reach (Coded Bias, Buolamwini's research).

Dépenses

Donations via ActBlue and merchandise sales.

Sources

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