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Policy

HAI produces critical scholarship on AI governance and convenes national and global AI discussions. We engage with leaders and policymakers worldwide to ensure AI is designed to augment human capabilities and benefit society.

Fei-Fei Li and Condoleezza Rice

Learn about policymaker education

HAI Co-Director Fei-Fei Li and Advisory Council Member Condoleezza Rice speaking at the Congressional Boot Camp on AI.

Learn about policymaker education

HAI Senior Fellow Daniel E. Ho testified before the Senate Committee on Homeland Security and Governmental Affairs in May 2023 on AI in government.

Four panelists

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HAI Faculty Affiliate Jeff Hancock and Sanmi Koyejo discussed AI's potential and misuse during a workshop with members of the Association of Southeast Asian Nations community.

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The Stanford Robotics Center and HAI are partnering to define the responsible use of AI in the robotics field and produce original policy insights to help govern AI-enabled robotics.

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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.

View all Policy Publications

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Training for Policymakers

Policymakers and civil servants are at the front lines of decision-making on emerging technologies such as AI. Recognizing the valuable role they play in the AI governance ecosystem, Stanford HAI has developed specialized training programs to meet their needs.

Amy Zegart presenting at Congressional Boot Camp

Congressional Boot Camp on AI

HAI hosts a 3-day boot camp at Stanford for senior congressional staffers every August. This bipartisan, bicameral program breaks down complex AI concepts and unpacks the impact of AI on healthcare, education, climate, and democracy featuring scholars, Silicon Valley leaders, and civil society pioneers.

AI Training Series for U.S. Government Employees

HAI tailored this program in collaboration with the General Services Administration and the White House Office of Management and Budget to inform and educate U.S. government employees at all levels.

AI Fundamentals for Public Servants

HAI launched an online course in partnership with the learning platform Apolitical and Stanford Online, featuring instruction from multiple HAI experts. The course is provided free-of-charge and can be accessed on-demand for a broad audience of global policymakers. 

Policy Initiatives & Research

At HAI, we believe AI should be inspired by human intelligence, developed to augment human capabilities, and designed and applied with consideration for its impact on people and society.

Patrick Suppes Family Professor of Humanities and Sciences; Denning Co-Director of Stanford HAI, and provost emeritus John Etchemendy introduces U.S. Representative Anna Eshoo, co-chair of the Congressional AI Caucus and co-sponsor for the CREATE AI Act, before her keynote address at the Unlocking Public Sector AI Innovation Seminar at Gates Computer Science Building on Tuesday, October 31, 2023 in Stanford, California. Panelists Jennifer King, Fei-Fei Li, and Russ B. Altman addressed the packed house on developing advancements and innovations in the field of AI, significant in part by the previous days passing of an Executive Order by American President Joe Biden. (

National AI Research Resource

HAI led efforts with top universities and lawmakers to create a National AI Research Resource that would provide researchers with compute power and government datasets needed for education and research, and democratize AI research, education, and innovation.

Healthcare AI Policy

HAI's multidisciplinary committee of Stanford faculty and scholars conducts interdisciplinary research, convenes multi-stakeholder discussions, and develops tangible recommendations for policymakers that help ensure healthcare AI can benefit patients, doctors, and developers alike.

Tracking U.S. Executive Action on AI

HAI scholars have analyzed the state of implementation of a variety of AI-related executive actions released since 2019 across administrations, providing insights into federal efforts to lead in and govern AI.

Governance of Foundation Models

In collaboration with the Stanford Center for Research on Foundation Models (CRFM) and the Regulation, Evaluation, and Governance (RegLab), HAI blends knowledge with comprehensive legal and policy insights through high-impact research to inform U.S. and global AI governance discussions and legislative proposals.

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Tech Ethics & Policy Summer Fellowships

HAI is offering a fully funded summer fellowship for graduate students to gain hands-on experience in AI policy across D.C., from Congress to think tanks, applying their technical expertise to shape responsible technology policy.

Student Opportunities

Learn more about opportunities for Stanford students.

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Sign up to receive the latest insights and opportunities as we explore the intersection of policy, society, and AI.

Contact Us

Email hai-policy@stanford.edu for general inquiries about upcoming policy research publications, training programs, briefings, or other policy-related work.

Recently Published in Policy Publications

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Response to OSTP’s Request for Information on the Development of an AI Action Plan
Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025
Response to Request

In this response to a request for information issued by the National Science Foundation’s Networking and Information Technology Research and Development National Coordination Office (on behalf of the Office of Science and Technology Policy), scholars from Stanford HAI, CRFM, and RegLab urge policymakers to prioritize four areas of policy action in their AI Action Plan: 1) Promote open innovation as a strategic advantage for U.S. competitiveness; 2) Maintain U.S. AI leadership by promoting scientific innovation; 3) Craft evidence-based AI policy that protects Americans without stifling innovation; 4) Empower government leaders with resources and technical expertise to ensure a “whole-of-government” approach to AI governance.

Response to OSTP’s Request for Information on the Development of an AI Action Plan

Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Mar 17, 2025

In this response to a request for information issued by the National Science Foundation’s Networking and Information Technology Research and Development National Coordination Office (on behalf of the Office of Science and Technology Policy), scholars from Stanford HAI, CRFM, and RegLab urge policymakers to prioritize four areas of policy action in their AI Action Plan: 1) Promote open innovation as a strategic advantage for U.S. competitiveness; 2) Maintain U.S. AI leadership by promoting scientific innovation; 3) Craft evidence-based AI policy that protects Americans without stifling innovation; 4) Empower government leaders with resources and technical expertise to ensure a “whole-of-government” approach to AI governance.

Regulation, Policy, Governance
Response to Request
Safeguarding Third-Party AI Research
Kevin Klyman, Shayne Longpre, Sayash Kapoor, Rishi Bommasani, Percy Liang, Peter Henderson
Feb 13, 2025
Policy Brief
Safeguarding third-party AI research

This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.

Safeguarding Third-Party AI Research

Kevin Klyman, Shayne Longpre, Sayash Kapoor, Rishi Bommasani, Percy Liang, Peter Henderson
Feb 13, 2025

This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.

Privacy, Safety, Security
Regulation, Policy, Governance
Safeguarding third-party AI research
Policy Brief
Assessing the Implementation of Federal AI Leadership and Compliance Mandates
Jennifer Wang, Mirac Suzgun, Caroline Meinhardt, Daniel Zhang, Kazia Nowacki, Daniel E. Ho
Jan 17, 2025
White Paper

This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.

Assessing the Implementation of Federal AI Leadership and Compliance Mandates

Jennifer Wang, Mirac Suzgun, Caroline Meinhardt, Daniel Zhang, Kazia Nowacki, Daniel E. Ho
Jan 17, 2025

This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.

Government, Public Administration
Regulation, Policy, Governance
White Paper
What Makes a Good AI Benchmark?
Anka Reuel, Amelia Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel Kochenderfer
Dec 11, 2024
Policy Brief
What Makes a Good AI Benchmark

This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.

What Makes a Good AI Benchmark?

Anka Reuel, Amelia Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel Kochenderfer
Dec 11, 2024

This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.

Foundation Models
Privacy, Safety, Security
What Makes a Good AI Benchmark
Policy Brief
Response to Request

Response to OSTP’s Request for Information on the Development of an AI Action Plan

Caroline Meinhardt, Daniel Zhang, Rishi Bommasani, Jennifer King, Russell Wald, Percy Liang, Daniel E. Ho
Regulation, Policy, GovernanceMar 17

In this response to a request for information issued by the National Science Foundation’s Networking and Information Technology Research and Development National Coordination Office (on behalf of the Office of Science and Technology Policy), scholars from Stanford HAI, CRFM, and RegLab urge policymakers to prioritize four areas of policy action in their AI Action Plan: 1) Promote open innovation as a strategic advantage for U.S. competitiveness; 2) Maintain U.S. AI leadership by promoting scientific innovation; 3) Craft evidence-based AI policy that protects Americans without stifling innovation; 4) Empower government leaders with resources and technical expertise to ensure a “whole-of-government” approach to AI governance.

Policy Brief
Safeguarding third-party AI research

Safeguarding Third-Party AI Research

Kevin Klyman, Shayne Longpre, Sayash Kapoor, Rishi Bommasani, Percy Liang, Peter Henderson
Privacy, Safety, SecurityRegulation, Policy, GovernanceFeb 13

This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.

White Paper

Assessing the Implementation of Federal AI Leadership and Compliance Mandates

Jennifer Wang, Mirac Suzgun, Caroline Meinhardt, Daniel Zhang, Kazia Nowacki, Daniel E. Ho
Government, Public AdministrationRegulation, Policy, GovernanceJan 17

This white paper assesses federal efforts to advance leadership on AI innovation and governance through recent executive actions and emphasizes the need for senior-level leadership to achieve a whole-of-government approach.