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
- General contact
- Newsletter
- Homepage
- Action page
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.