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

Alan Chan

PhD Student

I work on AI governance as a Research Fellow at GovAI and a PhD student at Mila.