Policy Publications

Stanford HAI leverages the university’s strength across disciplines—including computer science, business, economics, education, law, literature, medicine, neuroscience, philosophy, sustainability, and more—to create innovative research on AI. We translate cutting-edge, multidisciplinary AI research for the policy audience and produce original AI-related policy research to equip policymakers with tools to understand and govern the technology.

Explore Publications

Response to Requests
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June, 2023

Responses to NTIA's Request for Comment on AI Accountability Policy

  • Rishi Bommasani, Sayash Kapoor, Daniel Zhang, Arvind Narayanan, Percy Liang, Jennifer King
Issue Brief
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February, 2023

Foundation Model Issue Brief Series

  • Rishi Bommasani, Daniel Zhang, Tony Lee, Percy Liang
Policy Brief
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December, 2022

Algorithms and the Perceived Legitimacy of Content Moderation

  • Christina A. Pan, Sahil Yakhmi, Tara Iyer, Evan Strasnick, Amy X. Zhang, Michael Bernstein
White Paper
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December, 2022

Implementation Challenges to Three Pillars of America’s AI Strategy

  • Christie Lawrence, Issac Cui, Daniel E. Ho
Response to Requests
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November, 2022

Response to FTC's Advanced Notice of Proposed Rulemaking on Commercial Surveillance and Data Security

  • Jennifer King, Caroline Meinhardt, Abel Ribbink, Pete Warden, Daniel Zhang, James Zou
Policy Brief
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November, 2022

Balancing Fairness and Efficiency in Health Plan Payments

  • Anna Zink, Thomas G. McGuire, Sherri Rose
Policy Brief
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October, 2022

Using Algorithm Audits to Understand AI

  • Danaë Metaxa, Jeff Hancock
Policy Brief
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September, 2022

Promoting Algorithmic Fairness in Clinical Risk Prediction

  • Agata Foryciarz, Stephen R. Pfohl, Nigam Shah
Policy Brief
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August, 2022

Toward Stronger FDA Approval Standards for AI Medical Devices

  • Eric Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, Daniel E. Ho, James Zou

Contact Us

If you would like to learn more about HAI Policy Publications, please contact HAI-Policy@stanford.edu.