Policy | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

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.

Recently Published in Policy Publications

See all Publications
How Can AI Support Language Digitization and Digital Inclusion?
Juan Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang
Deep DiveFeb 26, 2026
White Paper

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.

How Can AI Support Language Digitization and Digital Inclusion?

Juan Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang
Deep DiveFeb 26, 2026

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.

Ethics, Equity, Inclusion
International Affairs, International Security, International Development
Natural Language Processing
White Paper
AI Sovereignty’s Definitional Dilemma
Juan Pava, Caroline Meinhardt, Elena Cryst, James Landay
Feb 17, 2026
News
illustration showing world and digital lines and binary code

Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

AI Sovereignty’s Definitional Dilemma

Juan Pava, Caroline Meinhardt, Elena Cryst, James Landay
Feb 17, 2026

Governments worldwide are racing to control their AI futures, but unclear definitions hinder real policy progress.

Government, Public Administration
Regulation, Policy, Governance
International Affairs, International Security, International Development
illustration showing world and digital lines and binary code
News
Toward Responsible AI in Health Insurance Decision-Making
Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char
Quick ReadFeb 10, 2026
Policy Brief

This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

Toward Responsible AI in Health Insurance Decision-Making

Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char
Quick ReadFeb 10, 2026

This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

Healthcare
Regulation, Policy, Governance
Policy Brief
Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise
Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Quick ReadDec 26, 2025
Response to Request

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise

Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Quick ReadDec 26, 2025

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.

Sciences (Social, Health, Biological, Physical)
Regulation, Policy, Governance
Response to Request
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.

Christine Baker

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.

Read Article

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.

Read Article

Read the article

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.

Read the article

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

Sign up for the Policy Newsletter

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.

Get Involved

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.

AI Policy Working Group

A unique opportunity for Stanford graduate students and researchers to bridge the gap between cutting-edge AI research and pressing public policy challenges.

Student Policy Opportunities

Learn more about opportunities for Stanford students.

Contact Us

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

Subscribe

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

White Paper

How Can AI Support Language Digitization and Digital Inclusion?

Juan Pava, Thomas S. Mullaney, Caroline Meinhardt, Audrey Gao, Diyi Yang
Ethics, Equity, InclusionInternational Affairs, International Security, International DevelopmentNatural Language ProcessingDeep DiveFeb 26

This white paper analyzes the varying ways AI tools can advance language digitization work, and provides recommendations for responsibly realizing the potential of AI in supporting the digital inclusion of digitally disadvantaged languages.

Policy Brief

Toward Responsible AI in Health Insurance Decision-Making

Michelle Mello, Artem Trotsyuk, Abdoul Jalil Djiberou Mahamadou, Danton Char
HealthcareRegulation, Policy, GovernanceQuick ReadFeb 10

This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.

Response to Request

Response to OSTP's Request for Information on Accelerating the American Scientific Enterprise

Rishi Bommasani, John Etchemendy, Surya Ganguli, Daniel E. Ho, Guido Imbens, James Landay, Fei-Fei Li, Russell Wald
Sciences (Social, Health, Biological, Physical)Regulation, Policy, GovernanceQuick ReadDec 26

Stanford scholars respond to a federal RFI on scientific discovery, calling for the government to support a new “team science” academic research model for AI-enabled discovery.