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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.

RA Opportunities

The policy team hires Stanford students for policy research assistant roles year-round to support policy research activities.

Emerging Technology Policy Writing Competition

The competition sought innovative policy analysis and solutions to help policymakers map out a human-centric approach to the safe, responsible development and deployment of emerging technologies.

Recent Policy Publications

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White Paper

Mind the (Language) Gap: Mapping the Challenges of LLM Development in Low-Resource Language Contexts

Juan Pava, Haifa Badi Uz Zaman, Caroline Meinhardt, Toni Friedman, Sang T. Truong, Daniel Zhang, Elena Cryst, Vukosi Marivate, Sanmi Koyejo
International Affairs, International Security, International DevelopmentNatural Language ProcessingDeep DiveApr 22

In collaboration with The Asia Foundation and the University of Pretoria, this white paper maps the LLM development landscape for low-resource languages, highlighting challenges, trade-offs, and strategies to increase investment; prioritize cross-disciplinary, community-driven development; and ensure fair data ownership.

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.

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