Joy Buolamwini

Joy Buolamwini is the founder of the Algorithmic Justice League (see Person entry) and one of the most widely-read public voices on algorithmic bias, facial recognition, and the social stakes of AI. She is tracked here as a Voice because her published output — peer-reviewed research, public talks, op-eds, congressional and UN testimony, the documentary Coded Bias (2020) in which she was the main subject, and the 2023 book Unmasking AI — has done as much as any single corpus of work to shape how non-specialist audiences understand the harms of biased and unaccountable AI systems.

Two of Buolamwini's framings have travelled particularly widely. The "coded gaze" names the patterns of encoded discrimination and exclusion that result when narrow groups of designers and datasets shape the systems most of the public interacts with. The "evocative audit" names an auditing practice that pairs the quantitative measurement of algorithmic harm with first-person testimony from the people the systems misclassify, mis-serve, or surveill. Both framings have been adopted in journalism, civil-society organising, and academic writing well beyond the AJL programme work that originated them.

Buolamwini's research record includes Gender Shades (2018, with Timnit Gebru), the commercial-vendor audits of facial-analysis systems that prompted product changes by IBM, Microsoft, and Megvii and seeded years of subsequent regulatory and corporate response. Her public-facing work includes a TED talk on the "coded gaze," appearances at U.S. Congressional hearings on facial recognition, and a sustained presence in U.S., U.K., and international AI-policy discourse. She holds a doctorate from the MIT Media Lab and has been recognised in TIME magazine's TIME100 AI list and elsewhere.

The Voice entry is created here to track Buolamwini's public output as it continues to develop. Affiliation and biographical structure are recorded on the linked Person entry per the corpus's Person/Voice split.