AI for Government
In what areas of government can AI be effective? Where does AI pose a risk to systems of government? What role do governments play in policing how AI is used? This session will explore these and other questions about the role of AI in government.
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, Stanford Law School
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).
Livestream this event here: https://livestream.com/accounts/1973198/AI-For-Good
- Specialized Content Knowledge & Skills
- Personal Development
- Behaving ethically & with professional integrity
- Valuing diverse experiences & perspectives
- Solving problems & thinking creatively