person
Joy Buolamwini
Founder of the Algorithmic Justice League; 'Unmasking AI'
Computer scientist who documented systematic racial and gender bias in commercial facial-recognition systems. Founded the Algorithmic Justice League to translate audit findings into policy.
Profile
expertise
Deep technical
Sustained peer-reviewed contribution to ML, alignment, interpretability, or safety techniques. Could review a frontier paper.
Founded the Algorithmic Justice League. PhD MIT Media Lab on facial-recognition bias. 'Gender Shades' research drove regulatory change.
recognition
Household name
Name recognition outside the AI/CS community. Featured by mainstream press, a Wikipedia page in many languages, a published bestseller, or holds a position the lay public knows.
Featured in Coded Bias documentary; congressional testimony; mainstream press regular.
vintage
Deep-learning rise
Came up post-AlexNet. ImageNet, AlphaGo, transformer paper. DeepMind, Google Brain, FAIR establish the modern lab template.
Gender Shades 2018. Algorithmic Justice League. Career formed during the deep-learning era critique.
Hand-classified. See the board for the criteria and the full grid.
Strategy positions
Governance firstendorses
Lead with regulation, treaties, liability regimesArgues civil-rights-informed regulation is the live AI governance question. Coined 'the coded gaze' for encoded discrimination.
“The rising frontier for civil rights will require algorithmic justice. AI should be for the people and by the people, not just the privileged few.”
Context: From Unmasking AI.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Joy Buolamwini's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-24.