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Five projects received a RAISE Health seed grant to support research and educational initiatives that advance responsible AI in biomedicine.
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.
The Stanford HAI co-director has blazed a trail by keeping humans at the center of emerging technologies.
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.
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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.
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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
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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.
After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.
HAI Policy Fellow Riana Pfefferkorn explains the different types of risk protection the private messaging app Signal can and cannot offer its users.
Stanford HAI Graduate Fellow Anka Reuel discusses the drawbacks of today’s widely used AI benchmarks, as many of them are technically flawed, outdated, or easily gamed.
AI presents an opportunity to reflect on society’s biases, but we need to pay close attention to both technical and social considerations, says Stanford HAI Faculty Affiliate Sanmi Koyejo.
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.
NNetNav learns how to navigate websites by mimicking childhood learning through exploration.
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.
