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Policy Publications

Stanford HAI is leveraging the university’s strength across all disciplines including: computer science, business, economics, education, law, literature, medicine, neuroscience, philosophy, and more, to create innovative research on AI. This multidisciplinary research is being designed in a way to provide answers to questions in the governance of AI as well as utilization by policymakers.

Policy Briefs

Stanford HAI policy briefs take cutting-edge, policy-relevant AI/ML academic research produced by Stanford faculty and transform it into digestible briefs for time-strained policymakers and staff.

Explainers & Issue Briefs

HAI’s policy explainers take AI/ML relevant legislation or other legal documents and highlight key points so anyone can efficiently find the information needed to make effective decisions.

White Papers

HAI’s white papers take a deeper dive into AI/ML research. Driven by faculty, researchers, students, and staff, these white papers aim to inform policymakers on cutting-edge research related to emerging technologies.

Recent Publications

What The CHIPS and Science Act means for Artificial IntelligenceCHIPS

August 2022
On July 27, 2022, Congress passed the CHIPS and Science Act to spend $280 billion focused on boosting the United States’ scientific research and advanced semiconductor manufacturing capacity to boost U.S. competitiveness against China. This policy explainer describes the CHIPS and Science Act (hereafter, the “CHIPS Act”) and its impact on artificial intelligence (AI), including funding allocated to AI-related research and activities and provisions related to new AI capacity-building and development programs.

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Feedback on the National Artificial Intelligence Research Task Force’s Interim Report

July 2022Feedback
Stanford HAI submitted this response in July 2022 to support the work of the National Science Foundation and the White House Office of Science and Technology Policy to implement the initial findings and recommendations of the National Artificial Intelligence Research Resource (NAIRR) Task Force. We concurred with a large majority of recommendations in the interim report that aligned very closely with our white paper and provided a set of feedback, including limiting NAIRR access to researchers at U.S. higher education institutions during the first three years of a pilot run, adopting a dual investment strategy with regard to computing infrastructure, and adopting a tiered model for the NAIRR proposal review and ethics review.

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Contact Us

Email for general inquiries, briefings, or other policy related work.