Research

Race and Surveillance Brief

The CCSRE discusses activist strategies for challenging surveillance technology, a literature review on racialized surveillance, and provides recommendations for researchers and community organizers.

Research

Gender Shades: Uncovering gender and skin-type bias in commercial AI products

Gender Shades is an excavation of inadvertent negligence that will cripple the age of automation and exacerbate inequality if left to fester.

Research

Who Audits the Auditors

The "Who Audits the Auditors?" paper was presented at the ACM FAccT Conference on June 21, 2022. Algorithmic Audits (or AI AUdits) have increased in popularity, however, they remain poorly defined.

Research

UNESCO Paper: Towards Credible Third-Party Audits Of AI Systems

Seeking to address the responsible ongoing development of AI, UNESCO released a timely paper, "Missing Links in Governance."

Research

Bug Bounties for Algorithmic Harms Report

Lessons from cybersecurity vulnerability disclosure for algorithmic harms discovery, disclosure, and redress, led by AJL researchers Josh Kenway, Camille François, Sasha Costanza-Chock, Inioluwa Deborah Raji, and Dr. Joy Buolamwini.

Research

Facial Recognition Technologies in the Wild: A Call for a Federal Office

In Facial Recognition Technologies in the Wild: A Call for a Federal Office, researchers Erik Learned-Miller, Joy Buolamwini, Vicente Ordóñez, and Jamie Morgenstern propose an FDA-inspired model that categorizes facial recognition technologies.

Research

Facial Recognition Technologies: A Primer

Facial Recognition Technologies: A Primer provides a basic introduction to the terminology, applications, and difficulties of evaluating this complex set of technologies.

Research

Actionable Auditing: Investigating the Impact of Biased Performance Results of Commercial AI Products

Although algorithmic auditing has emerged as a key strategy to expose systematic biases in software platforms, we struggle to understand the real impact of these audits.

Research

Race and Surveillance Brief

Gender Shades: Uncovering gender and skin-type bias in commercial AI products

Who Audits the Auditors

UNESCO Paper: Towards Credible Third-Party Audits Of AI Systems

Bug Bounties for Algorithmic Harms Report

Facial Recognition Technologies in the Wild: A Call for a Federal Office

Facial Recognition Technologies: A Primer

Actionable Auditing: Investigating the Impact of Biased Performance Results of Commercial AI Products

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