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Structured Facts
Database Records
Founded Date
2016
Key People
2JB
Joy BuolamwiniFounder
Founder & Executive Director
2016 – present
Founded AJL in 2016 as a graduate student at MIT Media Lab. Serves as Executive Director. Known for Gender Shades research on facial recognition bias. Confirmed on AJL about page as of 2026-04-03.
SC
Sasha Costanza-Chock
Research Director
Research Director at AJL. Also MIT professor. Led the CRASH Project beginning in 2019. Confirmed on AJL about page and multiple sources as of 2026-04-03.
Funding History
1Rockefeller Foundation Grant - Algorithmic Vulnerability BountygrantJul 2020
$150KLed by Rockefeller Foundation
Grant period 07.01.2020 - 11.30.2021 for Algorithmic Vulnerability Bounty, a participatory platform for identifying and addressing AI algorithmic harms
rockefellerfoundation.orgAll Facts
Organization
General
Websitehttps://www.ajl.org—▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| — | https://www.ajl.org | view → |
Other
advocacyDr. Joy Buolamwini testified before the House Committee on Science, Space, and Technology on AI and facial recognition bias2019▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2019 | Dr. Joy Buolamwini testified before the House Committee on Science, Space, and Technology on AI and facial recognition bias | view → |
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.2021▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2021 | Coded 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. | view → |
funding-sourcesFunded by Ford Foundation, MacArthur Foundation, Alfred P. Sloan Foundation, Rockefeller Foundation, Mozilla Foundation, and individual donors2025▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2025 | Funded by Ford Foundation, MacArthur Foundation, Alfred P. Sloan Foundation, Rockefeller Foundation, Mozilla Foundation, and individual donors | view → |
leadership-recognitionDr. Joy Buolamwini elected to NAACP Legal Defense Fund Board2025▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2025 | Dr. Joy Buolamwini elected to NAACP Legal Defense Fund Board | view → |
projectFreedom Flyers Campaign investigating TSA facial recognition at 250+ US airports; published 'Comply To Fly?' report20252 pts▶
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.Mar 2026▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| Mar 2026 | Gender 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. | view → |
recognitionNamed one of Fast Company's 10 Most Innovative AI Companies in the World2021▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2021 | Named one of Fast Company's 10 Most Innovative AI Companies in the World | view → |
research-impactOver 70 AI researchers publicly signed letter defending AJL's research following Amazon's challenge to the Gender Shades findings on their Rekognition system2019▶
| As Of | Value | Fact ID | |
|---|---|---|---|
| 2019 | Over 70 AI researchers publicly signed letter defending AJL's research following Amazon's challenge to the Gender Shades findings on their Rekognition system | view → |
Publications
2▶Internal Metadata
| ID | sid_UyAH46sPFN |
| Stable ID | sid_UyAH46sPFN |
| Wiki ID | E2880 |
| Type | organization |
| YAML Source | packages/factbase/data/things/algorithmic-justice-league.yaml |
| Facts | 12 structured |
| Records | 5 in 3 collections |