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.
This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.
This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.
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.
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.
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.
This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.
This brief analyzes the disparity between academia and industry in frontier AI research and presents policy recommendations for ensuring a stronger role for academia in public sector AI.
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.
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Learn more about opportunities for Stanford students.
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Email hai-policy@stanford.edu for general inquiries about upcoming policy research publications, training programs, briefings, or other policy-related work.
This brief examines the barriers to independent AI evaluation and proposes safe harbors to protect good-faith third-party research.
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.
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.