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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.

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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.

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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.

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"Gender Shades" Researchers Honored at EFF Pioneer Award Ceremony

Joy Buolamwini, Dr. Timit Gebru, and Deborah Raji’s trailblazing academic research "Gender Shades" on race and gender bias in facial analysis technology is honored at EFF's Pioneer Award Ceremony 2020.

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