Uploaded January 2026 | Updated September 2026, 1 week ago
Computer Science Seminar Series
January 13, 2026
“Foundations of Evidence-Based AI Policy”
Rishi Bommasani, Stanford Institute for Human-Centered AI
Governing AI is a grand challenge for society. Rishi Bommasani's research provides the foundations for the scientific field of AI policy: How do we understand the societal impact of AI and how do we use our understanding to produce evidence-based AI policy? Bommasani's research introduces new paradigms for measuring frontier models, deployed systems, and AI companies. Alongside his research, he will cover his work in multiple jurisdictions to demonstrate how AI research can impact public policy.
Rishi Bommasani is a senior research scholar at the Stanford Institute for Human-Centered AI researching the societal and economic impact of AI. His research has received several recognitions at machine learning conferences and has been covered by The New York Times, Nature, Science, The Washington Post, and The Wall Street Journal. Bommasani's research shapes public policy: He is the lead author of the California Report on Frontier AI Policy that led to the first U.S. laws on frontier AI; he is an independent expert chair of the European Union AI Act General-Purpose Code of Practice, which clarifies the first comprehensive worldwide laws on frontier AI; and he's an author of the International Scientific Report on the Safety of Advanced AI. Bommasani recently completed his PhD in computer science at Stanford University, where he was advised by Percy Liang and Dan Jurafsky and was funded by Stanford's Gerald J. Lieberman Fellowship and the NSF Graduate Research Fellowship.
Computer Science Seminar Series
January 13, 2026
“Foundations of Evidence-Based AI Policy”
Rishi Bommasani, Stanford Institute for Human-Centered AI
Governing AI is a grand challenge for society. Rishi Bommasani's research provides the foundations for the scientific field of AI policy: How do we understand the societal impact of AI and how do we use our understanding to produce evidence-based AI policy? Bommasani's research introduces new paradigms for measuring frontier models, deployed systems, and AI companies. Alongside his research, he will cover his work in multiple jurisdictions to demonstrate how AI research can impact public policy.
Rishi Bommasani is a senior research scholar at the Stanford Institute for Human-Centered AI researching the societal and economic impact of AI. His research has received several recognitions at machine learning conferences and has been covered by The New York Times, Nature, Science, The Washington Post, and The Wall Street Journal. Bommasani's research shapes public policy: He is the lead author of the California Report on Frontier AI Policy that led to the first U.S. laws on frontier AI; he is an independent expert chair of the European Union AI Act General-Purpose Code of Practice, which clarifies the first comprehensive worldwide laws on frontier AI; and he's an author of the International Scientific Report on the Safety of Advanced AI. Bommasani recently completed his PhD in computer science at Stanford University, where he was advised by Percy Liang and Dan Jurafsky and was funded by Stanford's Gerald J. Lieberman Fellowship and the NSF Graduate Research Fellowship.
