Skip to content
Longterm Wiki

Algorithmic Justice League

Organization
Founded 2016 (10 years old)HQ: Cambridge, MAajl.org ↗Wiki page →FactBase →

Nonprofit founded in 2016 by Dr. Joy Buolamwini to raise awareness about the impacts and harms of AI. Key programs include the Freedom Flyers Campaign investigating TSA facial recognition at 250+ US airports (produced "Comply To Fly?" report), and the CRASH Project (Community Reporting of Algorithmic System Harms, launched July 2020) which operates bug-bounty programs for algorithmic bias. Funded by Ford Foundation, MacArthur Foundation, Sloan Foundation, Rockefeller Foundation, and Mozilla Foundation. Buolamwini elected to NAACP Legal Defense Fund Board (2025). Primary intervention types: public awareness, advocacy, community-driven auditing.

Facts

11
Organization
HeadquartersCambridge, MA
Founded Date2016
General
Websitehttps://www.ajl.org
Other
PublicationGender Shades study (2018) by Buolamwini and Gebru demonstrated intersectional accuracy disparities in commercial facial recognition from IBM, Microsoft, and Face++. Dark-skinned women had highest error rates; light-skinned men had lowest. Over 4,900 citations on Semantic Scholar.
ProjectFreedom Flyers Campaign investigating TSA facial recognition at 250+ US airports; published 'Comply To Fly?' report
Leadership RecognitionDr. Joy Buolamwini elected to NAACP Legal Defense Fund Board
Funding SourcesFunded by Ford Foundation, MacArthur Foundation, Alfred P. Sloan Foundation, Rockefeller Foundation, Mozilla Foundation, and individual donors
RecognitionNamed one of Fast Company's 10 Most Innovative AI Companies in the World
DocumentaryCoded Bias (2020), directed by Shalini Kantayya, premiered at Sundance Film Festival. 90 minutes. Released on Netflix April 5, 2021 and broadcast on PBS Independent Lens. 100% Rotten Tomatoes score (52 reviews, 7.9/10 average). Emmy-nominated for Outstanding Science/Technology Documentary.
Research ImpactOver 70 AI researchers publicly signed letter defending AJL's research following Amazon's challenge to the Gender Shades findings on their Rekognition system
AdvocacyDr. Joy Buolamwini testified before the House Committee on Science, Space, and Technology on AI and facial recognition bias
View all facts in FactBase →

Other Data

Publications
2 entries
TitlePublicationTypeAuthorsUrlVenuePublishedDateIsFlagship
Comply to Fly?reportAlgorithmic Justice Leagueajl.orgAJL2025-07✓
Comply to Fly: Face Recognition at AirportsreportAlgorithmic Justice Leagueajl.org—2024✓

Related Wiki Pages

Top Related Pages

Approach

AI Governance Research and Analysis

Risk

AI Mass Surveillance

AI-enabled mass surveillance transforms monitoring from targeted observation to population-scale tracking.

Risk

AI-Driven Institutional Decision Capture

AI systems could systematically bias institutional decisions in healthcare, criminal justice, hiring, and governance.

Policy

China AI Regulatory Framework

Comprehensive analysis of China's iterative, sector-specific AI regulatory framework, covering 5+ major regulations affecting 50,000+ companies, wi...

Organization

Ada Lovelace Institute

Independent UK research institute established by the Nuffield Foundation in 2018, focused on ensuring data and AI work for people and society throu...

Organizations

AI Now InstituteAlgorithmWatchAI Policy InstituteAmericans for Responsible InnovationCenter for Humane TechnologyTech Oversight Project