creators

Deborah Raji: algorithmic auditing researcher

Deborah Raji researches algorithmic auditing at UC Berkeley and is an Academic Fellow at the Leadership Conference on Civil and Human Rights. TIME100 AI, 2023.

Inioluwa Deborah Raji is a Nigerian-Canadian computer scientist working on algorithmic auditing and AI accountability. She took a Bachelor of Applied Science in Engineering Science at the University of Toronto and says she is completing a PhD in computer science at UC Berkeley. She is an Academic Fellow at the Leadership Conference on Civil and Human Rights, and was previously a Senior Trustworthy AI Fellow at the Mozilla Foundation. With Joy Buolamwini she wrote 'Actionable Auditing', presented at AIES 2019, which tracked what IBM, Microsoft and Megvii (Face++) did after the Gender Shades audit named their accuracy gaps. Within seven months all three had shipped new API versions, and error on the darker-skinned female subgroup of the Pilot Parliaments Benchmark fell by between 17.7 and 30.4 per cent. Her work now covers how evaluation and data choices shape deployed model behaviour, and what that means for consumer protection, product liability and anti-discrimination law. She sits on the advisory boards of the Center for Democracy and Technology's AI Governance Lab, the Health AI Partnership, TeachAI, REALML and the Center for Civil Rights and Technology. TIME named her one of the 100 most influential people in AI in 2023, and she shared the EFF's 2020 Pioneer Award with Buolamwini and Timnit Gebru.

Specialization

algorithmic auditing, AI accountability, algorithmic bias, AI policy

Country

United States