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AI Policy Working Group | Stanford HAI

AI Policy Working Group

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Overview

Stanford HAI invites applications to join the 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.

Members will work closely with HAI faculty leaders and scholars, including Daniel E. Ho, Sanmi Koyejo, and Rishi Bommasani, on projects at the intersection of AI, governance, and societal impact. The Working Group provides hands-on experience in policy-relevant research and aims to train the next generation of scholars who can inform AI policymaking in the U.S. and globally.

Program Duration: October 1, 2025 - June 30, 2026

Apply by October 6

See Program Requirements

HAI Faculty Leaders and Scholars
Dan Ho headshot
Daniel E. Ho
William Benjamin Scott and Luna M. Scott Professor of Law | Professor of Political Science | Professor of Computer Science (by courtesy) | Senior Fellow, Stanford HAI | Senior Fellow, Stanford Institute for Economic and Policy Research | Director of the Regulation, Evaluation, and Governance Lab (RegLab)
Sanmi Koyejo
Assistant Professor of Computer Science, Stanford University; Faculty Affiliate, Stanford HAI
Rishi Bommasani
Senior Research Scholar, Stanford HAI
headshot
Elena Cryst
Director of Policy and Society, Stanford HAI

Program Requirements

Time Commitment: ~10 hours per week

Project Collaboration: Members will contribute to a research project that will aim to have both scientific impact through a high-quality paper and policy impact. Here are some potential projects and we welcome new ideas in your applications:

  • Improving how governments evaluate AI tools

  • Measuring how AI capabilities relate to AI economic impacts

  • Building tools to and frameworks to price data used to train AI

Bi-Weekly Policy Meetings: A research meeting for members to discuss active projects and understand recent policy developments.

Past Work

While our group’s common focus is on rigorous research that positively impacts AI policy, we produce a variety of deliverables. Some recent examples include:

  • Technical papers like the Foundation Model Transparency Index

  • General-audience papers like Considerations for Governing Open Foundation Models and Advancing Science- and Evidence-based AI Policy

  • Policy briefs like Adverse Event Reporting for AI and Expanding Academia’s Role in Public Sector AI

Benefits

  • Experience contributing to impactful policy work at the frontier of AI.

  • A vibrant network of peers across disciplines interested in AI and public policy.

  • Mentorship from faculty and experts to build knowledge in tech policy

  • A moderate research stipend

Eligibility

  • Currently enrolled in a masters, PhD, or postdoctoral program at Stanford (all schools and programs eligible)

  • No prior policy experience is required; we encourage applicants from all disciplines.

Application

Start your application

* Applications should be submitted by October 6th, 2025