Inioluwa Deborah Raji
Algorithmic Auditing Fellow at Mozilla & CS PhD Candidate at UC Berkeley
Sources checkedInioluwa Deborah Raji is a fellow at the Mozilla Foundation, CS PhD candidate at UC Berkeley, and Mozilla Tech Fellow. Deborah is widely recognized for her seminal research on algorithmic bias and commercial auditing, including co-authoring the landmark Gender Shades evaluation with Joy Buolamwini that exposed demographic disparities in facial analysis software and led to industry-wide policy changes.
Areas of focus
Professional niches
Proof of Work
Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance in Commercial AI
Empirical research demonstrating how third-party algorithmic audits and public disclosure compel commercial technology giants to audit and recalibrate discriminatory deep learning models.
Audits require access to representative evaluation datasets and verifiable model inference APIs.
Context: Computer vision benchmarks, statistical auditing methodologies, and demographic parity metrics.
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