Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Sharad Goel

Sharad Goel
Assistant Professor, Stanford University

Website | @5harad

Sharad Goel is an assistant professor in the Department of Management Science and Engineering at Stanford University and the founder and director of the Stanford Computational Policy Lab. He also holds courtesy appointments in the Computer Science and Sociology Departments and the Law School. Previously, he was a senior researcher at Yahoo and Microsoft in New York City. In his research, Sharad looks at public policy through the lens of computer science, bringing a new, computational perspective to a diverse range of contemporary social issues, including policing, incarceration, and elections. He holds a PhD in applied mathematics from Cornell University.


2:40pm3:20pm Wednesday, March 27, 2019
Secondary topics:  Ethics
Sharad Goel (Stanford University)
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The nascent field of fair machine learning aims to ensure that decisions guided by algorithms are equitable. Several formal definitions of fairness have gained prominence, but, as Sharad Goel argues, nearly all of them suffer from significant statistical limitations. Perversely, when used as a design constraint, they can even harm the very groups they were intended to protect. Read more.