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Stanford researchers have developed a deep learning model that transforms overwhelming brain data into clear trajectories, opening new possibilities for understanding thought, emotion, and neurological disease.
These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.
The African Olympiad Academy is a world-class high school dedicated to training Africa’s most promising students in mathematics, science, and artificial intelligence through olympiad-based pedagogy.
Child labor remains prevalent in Ghana’s cocoa sector and is associated with adverse educational and health outcomes for children.
Join researchers, educators, tech leaders, and policymakers to explore how AI can strengthen learning, creativity, and critical thinking—grounded in the learning sciences. Attend via livestream.
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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.
We empower leaders in education, policy, and civil society with AI fundamentals to amplify their impact for humanity.
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Focusing on AI technologies across industries and their business implications, Stanford faculty offer courses for leaders and key decision-makers.
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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.
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Through evidence-based research and global convenings, our policy work equips decision-makers with key insights into AI governance’s challenges and opportunities.
We have a historical opportunity and responsibility to establish a human-centered frameworkfor AI research, education, practice and policy.
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.
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.
As trust in the old order erodes, mid-sized countries are building new agreements involving shared digital infrastructure and localized AI.
A Stanford HAI workshop brought together experts to develop new evaluation methods that assess AI's hidden capabilities, not just its test-taking performance.
World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.
QuantiPhy is a new benchmark and training framework that evaluates whether AI can numerically reason about physical properties in video images. QuantiPhy reveals that today’s models struggle with basic estimates of size, speed, and distance but offers a way forward.
HAI Co-Director James Landay urges people to think about what "AI for good" means today. He argues, "we need to move beyond just thinking about the user. We’ve got to think about broader communities who are impacted by AI systems if we actually want them to be good.”
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.
