Advancing science- and evidence-based AI policy
Details
- Publish Date:
- July 31, 2025
- Author(s):
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- Lynch, Shana
- Source:
- HAI
- Related Person(s):
- Related Organization(s):
Summary
Leading experts at Stanford, UC Berkeley, Princeton, the Carnegie Endowment for International Peace, and more are calling for an evidence-based approach to AI policy. In a new paper published in Science, 20 scholars – including Stanford Institute for Human-Centered AI scholars Fei-Fei Li, Yejin Choi, Daniel E. Ho, Percy Liang, and Rishi Bommasani – address the research-policy interface by articulating how policymakers can grow the evidence base now.
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