Institute for Human-Centered Artificial Intelligence (HAI)
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Morris M. Doyle Centennial Professor of Public Policy, William R. Kimball Professor at the Graduate School of Business, Professor of Psychology and by courtesy, of Law
Current Research and Scholarly InterestsMy research is on race and inequality. I am especially interested in examining race and inequality in the criminal justice context. My most recent research focuses on how the association of African Americans with crime might matter at different points in the criminal justice system and how this association can affect us in surprising ways.
David Freeman Engstrom
Professor of Law
BioDavid Freeman Engstrom is the LSVF Professor in Law and Co-Director of the Deborah L. Rhode Center on the Legal Profession at Stanford Law School. He is a scholar of public law, complex organizations, and political economy whose research and teaching explore problems in litigation procedure, administrative law, artificial intelligence and the law, constitutional law, civil rights, and access to courts. He is a faculty affiliate at the Stanford Institute for Human-Centered Artificial Intelligence, the Regulation, Evaluation, and Governance Lab (RegLab), and CodeX: The Stanford Center for Legal Informatics. Engstrom currently serves as the Reporter for the American Law Institute’s Principles of the Law, High-Volume Civil Adjudication. He co-founded the Filing Fairness Project, a multi-state effort to modernize court filing systems and widen access to our courts. He is an elected member of the American Law Institute, a Public Member of the Administrative Conference of the United States (ACUS), and a Fellow of the American Bar Foundation. Prior to joining the Stanford faculty, he was a litigator at a boutique D.C. law firm, where he represented clients before the U.S. Supreme Court and other courts and agencies, and clerked for Judge Diane P. Wood on the U.S. Court of Appeals for the Seventh Circuit.
Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability.