Stanford University
Institute for Human-Centered AI (HAI)
United States · PhD/Postdoc/Fellowship
Stanford HAI is the flagship interdisciplinary research institute for human-centered AI, integrating computer science, philosophy, psychology, and law to investigate AI ethics, human-AI collaboration, and AI governance. HAI situates AI alignment within the framework of human well-being and societal impact, serving as a global benchmark for research at the intersection of technology and ethics.
学术历史
HAI was established in 2019, co-founded by Fei-Fei Li and John Etchemendy with support from multiple donors. The institute was created in response to the lack of human-centricity in the rapid development of AI technology, consolidating Stanford's strengths in AI technology (SAIL) and the humanities and social sciences into a unified platform. HAI builds upon Stanford's long-standing tradition in technology ethics, including Terry Winograd's human-centered computing paradigm and James Landay's ubiquitous computing ethics. Since its founding, HAI has rapidly become a major hub for AI ethics and governance research worldwide, regularly publishing the AI Index Report.
当前状态
HAI currently operates across multiple research directions: AI ethics and values, AI governance and policy, human-AI collaboration, economic impacts of AI, and AI healthcare ethics. The institute offers annual Fellowship programs and PhD student funding initiatives. It offers courses such as CS257 (Fairness in Machine Learning). HAI publishes the AI Index Report annually, which has become the authoritative data source on the state of AI development and safety worldwide. The institute maintains collaborative partnerships with companies including Google and Microsoft.
实验室 / 研究中心
Institute for Human-Centered AI
访问页面 →关键人物
Fei-Fei Li
Professor / HAI Co-Director
Expert in computer vision and AI ethics, and lead of the ImageNet project. She advocates for human-centered AI and studies the ethical implications and social responsibility of AI. Formerly Chief Scientist of AI/ML at Google Cloud.
John Etchemendy
Professor / HAI Co-Director
Logician and Professor of Philosophy, former Provost of Stanford University. He studies the philosophical foundations of logic and AI reasoning, bringing humanities perspectives into AI alignment discourse.
Rob Reich
Professor
Political philosopher studying AI ethics, democratic governance, and the social responsibility of technology companies. Author of Just Giving and System Error (co-authored with Mehran Sahami).
标志性成果
- Established the interdisciplinary research paradigm for human-centered AI, integrating technological, ethical, and social science perspectives
- AI Index Report: the world's most authoritative annual data report on AI development and safety
- Research on AI ethics and democratic governance: a philosophy-policy framework for technology companies' social responsibility and AI regulation
- Fairness in machine learning curriculum and textbook development: CS257 has become a benchmark course in AI fairness education
学术资源
证据
师资
12 位相关教师
知名：Fei-Fei Li、John Etchemendy、Rob Reich、Mehran Sahami、Holly Chiang
研究产出
HAI-affiliated researchers consistently publish AI ethics and governance research at top venues such as FAccT, AIES, and NeurIPS, as well as in the AI Index Report
就业去向
Graduates join policy and ethics teams at technology companies (Google, Microsoft, Meta), policy institutions, NGOs, or pursue academic faculty positions
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