Advancing AI research, education, and policy to improve the human condition.
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Hoffman-Yee Symposium 2025
Watch Dr. Fei-Fei Li, on PBS’ Firing Line with Margaret Hoover
In this recent interview on PBS’ Firing Line with Margaret Hoover, Dr. Fei-Fei Li, co-founder of the Stanford Institute for Human-Centered AI, discusses the dual nature of artificial intelligence as both a powerful tool for societal benefit and a potential risk if misused. She emphasizes the importance of ethical governance in AI development, advocating for a collaborative approach involving many perspectives to ensure that technological advancements prioritize human dignity and well-being.
Research
Our vision for the future is led by our commitment to studying, guiding, and developing human-centered AI technologies and applications. We believe AI should be collaborative, augmentative, and enhancing human productivity and quality of life.
HAI was established to support innovative AI research that bridges disciplines and fields. The Institute aims to appoint and support promising researchers through its fellowship programs who are working at intersections often overlooked by traditional academic departments, in addition to outstanding researchers pursuing core disciplinary topics.
The Stanford Institute for Human-Centered AI strives to foster a culture of interdisciplinary AI research in which technological advancements are inextricably linked to research about their potential societal impacts. HAI builds on the strength of Stanford research by offering many grant programs.
Affinity Groups provide a space for students to share ideas, develop intellectually and strengthen the community of future leaders dedicated to building AI that benefits all of humanity.
Education
We empower leaders in education, policy, and civil society with AI fundamentals to amplify their impact for humanity.
More on Education
Focusing on AI technologies across industries and their business implications, Stanford faculty offer courses for leaders and key decision-makers.
Explore our programs
Exploring the unique opportunities and challenges that AI presents in civil society, philanthropy, and nonprofits.
Apply for the Fall 2025 Social Sector Cohort
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.
See how HAI empowers policymakers
Christine Baker
Educating the next generation of AI leaders is core to what HAI is all about. Essential to this mission are leaders and decision makers within the K-12 ecosystem, teachers, and students.
Discover our immersive programs and AI literacy resources
Stanford’s seven leading schools on the same campus enable HAI to offer a multidisciplinary approach to education.
See courses, requirements, and concentration advisors
Policy
Through evidence-based research and global convenings, our policy work equips decision-makers with key insights into AI governance’s challenges and opportunities.
HAI and the McCoy Family Center for Ethics in Society are offering a 9-10 week fellowship for Stanford undergraduate and graduate students to engage in the technology ethics and policy field as it intersects with public policy and social impact.
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.
Latest at HAI
AI4All participant Anandita Mukherjee shares her experience in an immersive two-week AI learning experience.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, speaks about AI's policymakers' roles in preparing for AI impacts on the labor markets.
Erik Brynjolfsson, Senior Fellow of HAI and Director of the Stanford Digital Economy Lab, writes about how the AI ‘dividend’ may not be evident yet in estimates of gross domestic product but it’s making life better and more productive.
Experts from Stanford HAI and top universities urge policymakers to prioritize scientific understanding to govern frontier AI.
A new study on generative AI argues that addressing biases requires a deeper exploration of ontological assumptions, challenging the way we define fundamental concepts like humanity and connection.
We have a historical opportunity and responsibility to establish a human-centered frameworkfor AI research, education, practice and policy.
— Fei-Fei Li
Denning Co-Director
At HAI, we view the field of AI as spanning the entire university. Unless we tap into the full gamut of disciplinary expertise we cannot hope to realize the potential of the technology while avoiding its pitfalls.
— John Etchemendy
Denning Co-Director
Keep track of how the latest AI developments affect sectors of our society
In Healthcare
New Large Language Model Helps Patients Understand Their Radiology Reports
‘RadGPT’ cuts through medical jargon to answer common patient questions.
A new Stanford study reveals that AI therapy chatbots may not only lack effectiveness compared to human therapists but could also contribute to harmful stigma and dangerous responses.
In Design, Human-Computer Interaction
Daniela Rus | Physical AI
In today’s robot revolution, a record 3.1 million robots are now working in factories, doing everything from assembling computers to packing goods and monitoring air quality and performance.
We invited 11 sci-fi filmmakers and AI researchers to Stanford for Stories for the Future, a day-and-a-half experiment in fostering new narratives about AI. Researchers shared perspectives on AI and filmmakers reflected on the challenges of writing AI narratives. Together researcher-writer pairs transformed a research paper into a written scene. The challenge? Each scene had to include an AI manifestation, but could not be about the personhood of AI or AI as a threat. Read the results of this project.