person
Inioluwa Deborah Raji
Mozilla fellow; algorithmic audit researcher
Mozilla fellow and PhD student at UC Berkeley working on algorithmic auditing. Co-authored foundational work with Joy Buolamwini on commercial facial-recognition bias.
current PhD student, UC Berkeley; Fellow, Mozilla Foundation
Strategy positions
Governance firstendorses
Lead with regulation, treaties, liability regimesArgues third-party audits and external accountability are necessary for trustworthy AI.
Audits are not a nice-to-have. They are the foundation of accountability.
Near-term harms firstendorses
Documented present harms outweigh speculative existential narrativesArgues system-level audits, rather than dataset audits or model cards alone, are required to capture real-world harms; supports legal frameworks that mandate access to deployed models.
Algorithmic audits are most effective when they look at the entire sociotechnical system, including the people, processes, and incentives surrounding the deployed model.
Closest strategy neighbours
by jaccard overlapOther people whose strategy tags overlap with Inioluwa Deborah Raji's. Overlap is on tag identity, not stance; opposites can show up if they reference the same tags.
Record last updated 2026-04-25.