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Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
How researchers are working to ensure AI accelerates medical breakthroughs without unintended harm.
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.
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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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.
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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Through evidence-based research and global convenings, our policy work equips decision-makers with key insights into AI governance’s challenges and opportunities.
Stanford law professor advocates for public-sector AI tools to support self-represented litigants in civil cases.
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs.
Stanford HAI joined global leaders to discuss the balance between AI innovation and safety and explore future policy paths.
Trained on a dataset that includes all known living species – and a few extinct ones – Evo 2 can predict the form and function of proteins in the DNA of all domains of life and run experiments in a fraction of the time it would take a traditional lab.
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.
A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.
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.
