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Hanna Wallach
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Feb 14, 2021

Navigating the Broader Impacts of Machine Learning Research

This essay is a (near) transcript of a talk I recently gave at the NeurIPS 2020 workshop on “Navigating the Broader Impacts of AI Research,” organized by Carolyn Ashurst, Solon Barocas, Rosie Campbell, Deb Raji, and Stuart Russell. I want to start by talking about the Gordian knot. For those…

Machine Learning

18 min read

Navigating the Broader Impacts of Machine Learning Research
Navigating the Broader Impacts of Machine Learning Research

Dec 19, 2014

Big Data, Machine Learning, and the Social Sciences

Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency This essay is a (near) transcript of a talk I recently gave at a NIPS 2014 workshop on “Fairness, Accountability, and Transparency in Machine Learning,” organized by Solon Barocas and Moritz Hardt. Introduction I want to start by giving you some context for this talk by telling you a little bit…

21 min read

Big Data, Machine Learning, and the Social Sciences
Big Data, Machine Learning, and the Social Sciences
Hanna Wallach

Hanna Wallach

Microsoft Research NYC. Fairness, accountability & transparency in AI/ML. NeurIPS & ICML board member, WiML co-founder, sloth enthusiast. She/her.

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