Skip to the main content

Solon Barocas is a Principal Researcher in the New York City lab of Microsoft Research, where he is a member of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group. He's also an Adjunct Assistant Professor in the Department of Information Science at Cornell University, where he co-leads the initiative on Artificial Intelligence, Policy, and Practice (AIPP). His research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference. He is co-author of the forthcoming textbook on "Fairness and Machine Learning: Limitations and Opportunities" and he co-founded the ACM conference on Fairness, Accountability, and Transparency (FAccT).


University of Pennsylvania Law Review

Unfair Artificial Intelligence: How FTC Intervention Can Overcome the Limitations of Discrimination Law

BKC Faculty Associate Solon Barocas writes about the Federal Trade Commission's intent to regulate discriminatory AI products and services. 

Aug 9, 2022