Joy Buolamwini

Joy Buolamwini is a digital activist, researcher, and founder of the Algorithmic Justice League, an organization dedicated to uncovering and challenging bias in artificial intelligence systems. Her landmark 2018 study, Gender Shades, audited leading commercial facial recognition systems and revealed that they exhibited error rates as high as 34% for darker-skinned women, compared to less than 1% for lighter-skinned men. This research exposed critical flaws in AI systems deployed across law enforcement, hiring, and other high-stakes domains.

Buolamwini's work combines technical auditing with advocacy, arguing that algorithmic systems encode and amplify historical discrimination. She has become a leading voice in the movement for algorithmic justice and transparency, testifying before Congress and influencing policy discussions on AI regulation. Her research and activism have helped shift the conversation around AI ethics from abstract principles to concrete evidence of real-world harms, particularly affecting marginalized communities.

Joy Buolamwini is a digital activist and researcher who founded the Algorithmic Justice League to expose bias in artificial intelligence systems. She is best known for her Gender Shades study, which demonstrated that commercial facial recognition systems exhibit significant racial and gender bias. Her work has become foundational to discussions of algorithmic accountability and fairness in AI.