Inioluwa Deborah Raji
VERIFIED TECHNICAL DOSSIERSources checked

Inioluwa Deborah Raji

Algorithmic Auditing Fellow at Mozilla & CS PhD Candidate at UC Berkeley

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Inioluwa Deborah Raji. Every entry undergoes editorial source verification.

#1
RESEARCH Checked Sep 20, 2026

Outsider Oversight: Designing Independent External Audits for Deployed AI

An influential empirical paper by Deborah Raji examining the methodology and systemic impact of third-party external audits on proprietary machine learning systems deployed in criminal justice and hiring.

Model & Execution Context:Evaluates algorithmic accountability across automated facial recognition and predictive risk scoring algorithms.
Scope & Limitations

External audit methodology; access to internal training datasets is often obstructed by commercial trade secrecy.

#2
RESEARCH Checked Sep 20, 2026

Mozilla Foundation / UC Berkeley: Enterprise AI Risk Management & Governance Framework

A structured governance and compliance methodology authored by Inioluwa Deborah Raji at Mozilla Foundation / UC Berkeley, establishing organizational guardrails, vendor evaluation criteria, and model validation standards for enterprise adoption.

Model & Execution Context:Computer vision benchmarks, statistical auditing methodologies, and demographic parity metrics.
Scope & Limitations

Strategic governance advisory framework; regulatory compliance requirements must be validated against regional legal statutes.