Problems with Fair ML

Abstract

This talk will be a mostly non-technical dive into problems that I find with a lot of fair ML research today. I will begin with some context, provide a characterization of fair ML, go through scenarios to tease out the problems with this characterization, and conclude with some closing questions to improve upon the work being done. Link: www.youtube.com/watch?v=CmwJxqxcGnE

Date
Jul 28, 2020 12:00 AM
Alan Chan
Alan Chan
PhD Student

I’m a PhD student at Mila, where I think about the development of AI from the perspectives of RL, fundamental science, fairness, and interpretability. Please feel free to reach out!