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Case Study
Timnit Gebru · Emily Denton

Mon Dec 06 04:30 PM -- 05:00 PM (PST) @
in Beyond Fairness in Machine Learning »

Author Information

Timnit Gebru (Black in AI)

Timnit Gebru was recently fired by Google for raising issues of discrimination in the workplace. Prior to that she was a co-lead of the Ethical AI research team at Google Brain. She received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li, and did a postdoc at Microsoft Research, New York City in the FATE (Fairness Accountability Transparency and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying projects aiming to gain insights from data. Timnit also co-founded Black in AI, a nonprofit that works to increase the presence, inclusion, visibility and health of Black people in the field of AI.

Emily Denton (Google)

Emily Denton is a Research Scientist at Google where they examine the societal impacts of AI technology. Their recent research centers on critically examining the norms, values, and work practices that structure the development and use of machine learning datasets. Prior to joining Google, Emily received their PhD in machine learning from the Courant Institute of Mathematical Sciences at New York University, where they focused on unsupervised learning and generative modeling of images and video.

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