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SRI Seminar Series: Daniel E. Ho, Stanford University

Our weekly SRI Seminar Series welcomes Daniel E. Ho, a professor of law, political science, and computer science at Stanford University, and the director of the Stanford RegLab, which partners with government agencies to design and evaluate programs, policies, and technologies that modernize government. In this talk, Ho will explore his recent research on data governance and public policy for digital technologies, including emerging regulatory frameworks for AI systems. This session will be moderated by Anna Su.

Talk title and abstract:

Coming soon.


About Daniel E. Ho

Daniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law, professor of political science, professor of computer science (by courtesy), senior fellow at Stanford’s Institute for Human-Centered Artificial Intelligence (HAI), and senior fellow at the Stanford Institute for Economic Policy Research. He is also a faculty fellow at the Center for Advanced Study in the Behavioral Sciences and director of the Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University. 

Ho serves on the National Artificial Intelligence Advisory Committee (NAIAC), advising the White House on artificial intelligence, as senior advisor on responsible AI at the U.S. Department of Labor, and as a public member of the Administrative Conference of the United States. He is an elected member of the American Academy of Arts and Sciences. He received his JD from Yale Law School and PhD from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit.


About the SRI Seminar Series

The SRI Seminar Series brings together the Schwartz Reisman community and beyond for a robust exchange of ideas that advance scholarship at the intersection of technology and society. Seminars are led by a leading or emerging scholar and feature extensive discussion.

Each week, a featured speaker will present for 45 minutes, followed by an open discussion. Registered attendees will be emailed a Zoom link before the event begins. The event will be recorded and posted online.

Daniel E. Ho

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November 20

SRI Seminar Series: Henry Shevlin, “All too human? Identifying and mitigating ethical risks of Social AI”