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AI promises to transform how government agencies work. Where will it have the biggest impact? What are some challenges around transparency, privacy, bias, and accountability? This talk will go beyond the headlines and share highlights of a just-completed report on AI in the US Government.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
An AI Measurement Science (AIMS) Seminar Series
An AI Measurement Science (AIMS) Seminar Series
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
David Freeman Engstrom - Professor and Associate Dean for Strategic Initiatives, Stanford Law School
David Freeman Engstrom is the Bernard D. Bergreen Faculty Scholar and an Associate Dean at Stanford Law School. He is an elected member of the American Law Institute and a faculty affiliate at the Stanford Institute for Human-Centered AI, CodeX: The Stanford Center for Legal Informatics, and the Regulation, Evaluation, and Governance Lab (RegLab). He received a J.D. from Stanford Law School, an M.Sc. from Oxford University, and a Ph.D. in political science from Yale University and clerked for Chief Judge Diane P. Wood on the U.S. Court of Appeals for the Seventh Circuit. Before joining Stanford's faculty, he practiced law, representing clients before the U.S. Supreme Court and other courts and agencies.
Daniel Ho - Professor of Law, Professor of Political Science, Director of the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University
Daniel Ho is the William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. Dr. Ho received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit. He directs the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford, is a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences, and is an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI).