Solon Barocas, a Data & Society affiliate, 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. Barocas is co-author of the textbook Fairness and Machine Learning: Limitations and Opportunities and co-founded the ACM conference on Fairness, Accountability, and Transparency (FAccT).