Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Stanford HAI is an interdisciplinary university institute advancing AI research, education, and policy with a focus on AI that benefits humanity and augments human capabilities. It is best known for publishing the annual AI Index Report.
Stanford HAI is an interdisciplinary university institute advancing AI research, education, and policy with a focus on AI that benefits humanity and augments human capabilities. It is best known for publishing the annual AI Index Report.
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Org Details
Updated 05/18/26By grantmaking.aiStanford HAI is Stanford University’s central institute for artificial intelligence and data science, described by university leadership as the “front door for AI at Stanford.” The institute brings together faculty from engineering, medicine, the humanities, and other disciplines to study and shape how AI affects people, communities, and society, with a human-centered focus as its guiding principle.
In 2026, Stanford merged its two flagship organizations—the original Stanford Institute for Human-Centered AI and the Stanford Data Science initiative—into a single institute that retains the Stanford HAI name. The combined institute is led by computer scientist James Landay, who serves as Denning Director. Former Stanford president John Hennessy and HAI founding director Fei-Fei Li co-chair the advisory council, and Li also holds a university-wide role as Special Advisor on AI to Stanford President Jonathan Levin.
The merger combines HAI’s network of more than 400 scholars, an extensive industry affiliates program, and approximately $60 million in cumulative grant funding with Stanford Data Science’s Marlowe high-performance computing cluster and early scholar fellowship program. This integrated institute supports ambitious interdisciplinary AI research and training across campus, backed by donor investment in endowed professorships, graduate fellowships, and seed and scale-up research grants.
Through its research, education, and engagement activities, Stanford HAI convenes academic, industry, government, and civil-society partners to ensure advances in AI remain grounded in a human-centered, socially responsible vision while enabling cutting-edge technical progress.
Theory of Change
Updated 05/18/26By grantmaking.aiStanford HAI believes that AI's trajectory will be determined by who shapes its development and with what values. By embedding AI research within a multidisciplinary university environment, HAI aims to produce foundational research that foregrounds human well-being, generate empirical evidence on AI's societal impacts through the AI Index, educate the next generation of researchers and practitioners with a human-centered orientation, and equip policymakers with the knowledge needed to govern AI responsibly. The causal chain runs from academic research and evidence-generation to better-informed policy and industry practices, ultimately producing AI systems and governance frameworks that augment human capabilities, reduce harm, and remain accountable to democratic values.
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