Timezone: »
Strategies for anticipating and mitigating risks
Ashley Casovan · Timnit Gebru · Shakir Mohamed · Solon Barocas · Aviv Ovadya
Author Information
Ashley Casovan (AI Global)
Timnit Gebru (Stanford University)
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.
Shakir Mohamed (DeepMind)
Solon Barocas (Cornell University / Microsoft Research)
Aviv Ovadya (Thoughtful Technology Project)
More from the Same Authors
-
2021 : Constructing a Visual Dataset to Study the Effects of Spatial Apartheid in South Africa »
Raesetje Sefala · Timnit Gebru · Luzango Mfupe · Nyalleng Moorosi · Richard Klein -
2022 : Elicitation Inference Optimization for Multi-Principal-Agent Alignment »
Andrew Konya · Yeping L Qiu · Michael Varga · Aviv Ovadya -
2021 : Case Study »
Timnit Gebru · Emily Denton -
2021 Tutorial: Beyond Fairness in Machine Learning »
Timnit Gebru · Emily Denton -
2021 : Machine learning in practice: Who is benefiting? Who is being harmed? »
Timnit Gebru -
2020 : The roles of different parts of the research ecosystem in navigating broader impacts »
Josh Greenberg · Liesbeth Venema · Ben Zevenbergen · Lilly Irani · Solon Barocas -
2020 : Panel 1: Tensions & Cultivating Resistance AI »
Abeba Birhane · Timnit Gebru · Noopur Raval · Ramon Vilarino -
2018 : Bias and fairness in AI »
Timnit Gebru · Margaret Mitchell · Brittny-Jade E Saunders