Institute for Human-Centered Artificial Intelligence (HAI)
Showing 191-200 of 255 Results
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Rob Reich
McGregor-Girand Professor of Social Ethics of Science and Technology, Sr Fellow at the Stanford Institute for HAI, Professor, by courtesy, of Education, of Philosophy, of Law and Senior Fellow, by courtesy, at the Freeman Spogli Institute
BioRob Reich is the McGregor-Girand Professor of Social Ethics of Science and Technology at Stanford University. In 2024-25, Rob was on public service leave as Senior Advisor to the United States Artificial Intelligence Safety Institute.
His scholarship in political theory engages with the work of social scientists and engineers. His newest work is on governance of frontier science and technology. His most recent books are System Error: Where Big Tech Went Wrong and How We Can Reboot (with Mehran Sahami and Jeremy M. Weinstein, HarperCollins 2021) and Digital Technology and Democratic Theory (edited with Lucy Bernholz and Hélène Landemore, University of Chicago Press 2021). He has also written widely about philanthropy, including Just Giving: Why Philanthropy is Failing Democracy and How It Can Do Better (Princeton University Press, 2018) and Philanthropy in Democratic Societies: History, Institutions, Values (edited with Chiara Cordelli and Lucy Bernholz, University of Chicago Press, 2016). His early work is focused on democracy and education, including Bridging Liberalism and Multiculturalism in American Education (University of Chicago Press, 2002) and Education, Justice, and Democracy (edited with Danielle Allen, University of Chicago Press, 2013). He has testified before Congress and written widely for the public, including for the New York Times, Washington Post, Wired, Time Magazine, The Atlantic, The Guardian, and the Stanford Social Innovation Review.
Rob is the recipient of multiple teaching awards, including the Walter J. Gores award, Stanford’s highest honor for teaching. He was a sixth grade teacher at Rusk Elementary School in Houston, Texas before attending graduate school. He is a board member of the magazine Boston Review and at the Spencer Foundation. He helped to create the global movement #GivingTuesday and served as its inaugural board chair. -
Thomas Robinson
The Irving Schulman, M.D. Professor of Child Health, Professor of Medicine (Stanford Prevention Research Center) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Robinson originated the solution-oriented research paradigm and directs the Stanford Solutions Science Lab. He is known for his pioneering obesity prevention and treatment research, including the concept of stealth interventions. His research applies social cognitive models of behavior change to behavioral, social, environmental and policy interventions for children and families in real world settings, making the results relevant for informing clinical and public health practice and policy.
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Fatima Rodriguez
Robert and Shirley Raymer Professor
BioFatima Rodriguez, MD, MPH serves as the Vice Chair of Clinical Research (Department of Medicine), Section Chief of Preventive Cardiology, and Associate Director of the Center for Digital Health at Stanford University. She received her medical degree from Harvard Medical School and a Master of Public Health from the Harvard T.H. Chan School of Public Health. Dr. Rodriguez completed her internal medicine residency at Brigham and Women’s Hospital and fellowship in cardiovascular medicine at Stanford.
Dr. Rodriguez specializes in the prevention and management of cardiovascular disease, with clinical expertise in coronary artery disease and inherited lipid disorders. Her research focuses on cardiovascular disease prevention and health promotion, leveraging digital tools to improve guideline-based care, and using AI-enabled approaches for early detection of atherosclerosis. -
Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus
Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.
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Ahmad Rushdi
Director of Industry Programs, Institute for Human-Centered Artificial Intelligence (HAI)
BioAhmad A. Rushdi, PhD, is the director of industry Research Programs, at Stanford’s Institute for Human-Centered AI (HAI). He works on translating cutting-edge AI research into applied, responsible, and deployable AI solutions for global enterprises in different domains, building durable bridges between Stanford scholars and industry researchers via research collaborations and executive education. As a research scientist, Ahmad's own research focuses on rigorous uncertainty quantification methods for trustworthy AI/ML models and systems. Previously, he held R&D roles at Sandia National Labs, Northrop Grumman, UC Davis, UT Austin, and Cisco. PhD: Electrical & Computer Engineering, UC Davis, and MS/BS: Electrical Engineering, Cairo University.
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Chiara Sabatti
Professor of Biomedical Data Science and of Statistics, and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI)
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
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Mehran Sahami
Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies
BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.
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Sha Sajadieh
AI Index Lead, Institute for Human-Centered Artificial Intelligence (HAI)
BioSha leads the AI Index at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The Index is a program built on longitudinal frameworks to measure AI's global trajectory. It also produces the Global AI Vibrancy Tool, an interactive platform that enables cross-country comparisons of AI activity across dozens of indicators.
In her role, Sha manages the direction and development for the AI Index Report, alongside the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The report is used by policymakers and global industry leaders, and has been cited in major outlets including The New York Times, Bloomberg, and The Guardian.
Before joining Stanford HAI, Sha spent nearly a decade in product leadership roles at companies like Google and Netflix, building consumer and enterprise products in media and entertainment.
Sha holds a B.A. in Interdisciplinary Studies from the University of California, Berkeley.
