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Health care providers struggle to catch early signals of cognitive decline. AI and computational neuroscientist Ehsan Adeli’s innovative computer vision tools may offer a solution.
Stanford scholars leverage physicians to evaluate 11 large language models in real-world settings.
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.
New in this year’s report are in-depth analyses of the evolving landscape of AI hardware, novel estimates of inference costs, and new analyses of AI publication and patenting trends. We also introduce fresh data on corporate adoption of responsible AI practices, along with expanded coverage of AI’s growing role in science and medicine.
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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.
More on Executive and Professional Education
Exploring the unique opportunities and challenges that AI presents in civil society, philanthropy, and nonprofits.
More on Civil Society and Nonprofit programs
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.
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.
Health care providers struggle to catch early signals of cognitive decline. AI and computational neuroscientist Ehsan Adeli’s innovative computer vision tools may offer a solution.
HAI's white paper shows "Most major LLMs underperform for non-English—and especially low-resource—languages; are not attuned to relevant cultural contexts; and are not accessible in parts of the Global South."
Stanford HAI's 2025 AI Index provides insights in AI advancements.
Pointing to "white-hat" hacking, AI policy experts recommend a new system of third-party reporting and tracking of AI’s flaws.
Stanford scholars leverage physicians to evaluate 11 large language models in real-world settings.
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.
