Institute for Human-Centered Artificial Intelligence (HAI)


Showing 41-60 of 258 Results

  • Angele Christin

    Angele Christin

    Associate Professor of Communication, by courtesy, of Sociology and Senior Fellow at the Stanford Institute for HAI

    Current Research and Scholarly InterestsAngèle Christin studies how algorithms and analytics transform professional values, expertise, and work practices.

    Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press, 2020) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. Drawing on ethnographic methods, Angèle shows how American and French journalists make sense of traffic numbers in different ways, which in turn has distinct effects on the production of news in the two countries. She discussed it on the New Books Network podcast.

    In a related study, she analyzed the construction, institutionalization, and reception of predictive algorithms in the U.S. criminal justice system, building on her previous work on the determinants of criminal sentencing in French courts.

    Her new project examines the paradoxes of algorithmic labor through a study of influencers and influencer marketing on YouTube, Instagram, and TikTok.

  • Geoffrey Cohen

    Geoffrey Cohen

    James G. March Professor of Organizational Studies in Education and Business, Professor of Psychology and, by courtesy, of Organizational Behavior at the Graduate School of Business

    Current Research and Scholarly InterestsMuch of my research examines processes related to identity maintenance and their implications for social problems. One primary aim of my research is the development of theory-driven, rigorously tested intervention strategies that further our understanding of the processes underpinning social problems and that offer solutions to alleviate them. Two key questions lie at the core of my research: “Given that a problem exists, what are its underlying processes?” And, “Once identified, how can these processes be overcome?” One reason for this interest in intervention is my belief that a useful way to understand psychological processes and social systems is to try to change them. We also are interested in how and when seemingly brief interventions, attuned to underlying psychological processes, produce large and long-lasting psychological and behavioral change.

    The methods that my lab uses include laboratory experiments, longitudinal studies, content analyses, and randomized field experiments. One specific area of research addresses the effects of group identity on achievement, with a focus on under-performance and racial and gender achievement gaps. Additional research programs address hiring discrimination, the psychology of closed-mindedness and inter-group conflict, and psychological processes underlying anti-social and health-risk behavior.

  • Steven Hartley Collins

    Steven Hartley Collins

    Associate Professor of Mechanical Engineering and, by courtesy, of Bioengineering

    BioSteve Collins is an Associate Professor of Mechanical Engineering at Stanford University, where he teaches courses on design and robotics and directs the Stanford Biomechatronics Laboratory. His primary focus is to speed and systematize the design and prescription of prostheses and exoskeletons using versatile device emulator hardware and human-in-the-loop optimization algorithms (Zhang et al. 2017, Science). Another interest is efficient autonomous devices, such as highly energy-efficient walking robots (Collins et al. 2005, Science) and exoskeletons that use no energy yet reduce the metabolic energy cost of human walking (Collins et al. 2015, Nature).

    Prof. Collins received his B.S. in Mechanical Engineering in 2002 from Cornell University, where he performed undergraduate research on passive dynamic walking robots. He received his Ph.D. in Mechanical Engineering in 2008 from the University of Michigan, where he performed research on the dynamics and control of human walking. He performed postdoctoral research on humanoid robots at T. U. Delft in the Netherlands. He was a professor of Mechanical Engineering and Robotics at Carnegie Mellon University for seven years. In 2017, he joined the faculty of Mechanical Engineering at Stanford University.

    Prof. Collins is a member of the Scientific Board of Dynamic Walking and the Editorial Board of Science Robotics. He has received the Young Scientist Award from the American Society of Biomechanics, the Best Medical Devices Paper from the International Conference on Robotics and Automation, and the student-voted Professor of the Year in his department.

  • Elena Cryst

    Elena Cryst

    Director of Policy and Society, Institute for Human-Centered Artificial Intelligence (HAI)

    BioElena Cryst is the Director of Policy and Society at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) where she leads the the organization's efforts to bring Stanford's cutting-edge AI research to policymakers worldwide. She also builds collaborations with civil society, philanthropy, and social impact leaders to understand how to better understand the concerns and passions of these communities with the development of these technologies.

    Elena has previously served in director roles at both the Stanford Institute for Economic Policy Research and the Freeman Spogli Institute for International Studies, including at that institute's Cyber Policy Center, Center for International Security and Cooperation, and Center on Democracy, Development and the Rule of Law. She is passionate about brining informed, cutting-edge, empirical research into the public dialogue.

    Elena received her BA with honors in International Relations and MA in Latin American Studies, both from Stanford University, and her MBA from the University of California, Berkeley Haas School of Business.

  • Gary Darmstadt

    Gary Darmstadt

    Professor (Teaching) of Pediatrics (Neonatology) and, by courtesy, of Obstetrics and Gynecology
    On Partial Leave from 11/25/2024 To 03/10/2025

    Current Research and Scholarly InterestsI have extensive experience in the development of global health innovations and in working to test and scale-up health interventions. At Stanford University, I am playing a leading role in developing global women and children’s health research and educational programs, including the establishment of a Global Center for Gender Equality at Stanford University. My research focuses on advancing child health and development in low resource settings and advancing gender equality and health globally, and includes several applications of artificial intelligence. Before joining Stanford, I was Senior Fellow at the Bill & Melinda Gates Foundation (BMGF), where I led the development of initiatives to address gender inequalities and empower women and girls. Prior to this role, I served as the BMGF Director of Family Health, leading strategy development and implementation across maternal, newborn and child health, nutrition, and family planning. In this role, I was responsible for investments ranging from scientific discovery to intervention development and delivery of interventions at scale. I worked closely with the Discovery team to shape discovery and development investments and was a co-founder of the Saving Lives at Birth Development Grand Challenge, the Putting Women and Girls at the Center of Development Grand Challenge, and the Healthy Birth, Growth and Development initiative. Based on these experiences, I understand how to identify knowledge gaps and generate evidence of impact for new interventions, and how to utilize evidence to influence the policy dialogue leading to programmatic adoption and scale-up of interventions in low income settings. As Director of Family Health, I also co-led the development and implementation of the BMGF global health strategy for India, which cuts across multiple health and development sectors. Before joining BMGF, I was Associate Professor and Founding Director of the International Center for Advancing Neonatal Health in the Department of International Health at the Johns Hopkins Bloomberg School of Public Health. I led the development of newborn health research, including numerous facility- and community-based maternal and child health research trials. Before joining Johns Hopkins, I was Senior Research Advisor for the $50M Saving Newborn Lives program of Save the Children-US, where I led the development and implementation of the global research strategy for newborn health and survival.

  • Giulio De Leo

    Giulio De Leo

    Professor of Oceans, of Earth System Science, Senior Fellow at the Woods Institute for the Environment and Professor, by courtesy of Biology

    Current Research and Scholarly InterestsI am a theoretical ecologist mostly interested in investigating factors and processes driving the dynamics of natural and harvested populations and on how to use this knowledge to inform practical management. I have worked broadly on life histories analysis, fishery management, dynamics and control of infectious diseases and environmental impact assessment.

  • Larry Diamond

    Larry Diamond

    Mosbacher Senior Fellow of Global Democracy at the Freeman Spogli Institute for International Studies, Senior Fellow at the Hoover Institution and Professor, by courtesy, of Sociology and of Political Science

    Current Research and Scholarly Interestsdemocratic development and regime change; U.S. foreign policy affecting democracy abroad; comparative trends in the quality and stability of democracy in developing countries and postcommunist states; and public opinion in new democracies, especially in East Asia

  • Ron Dror

    Ron Dror

    Cheriton Family Professor and Professor, by courtesy, of Structural Biology and of Molecular & Cellular Physiology

    Current Research and Scholarly InterestsMy lab’s research focuses on computational biology, with an emphasis on 3D molecular structure. We combine two approaches: (1) Bottom-up: given the basic physics governing atomic interactions, use simulations to predict molecular behavior; (2) Top-down: given experimental data, use machine learning to predict molecular structures and properties. We collaborate closely with experimentalists and apply our methods to the discovery of safer, more effective drugs.

  • Mark Duggan

    Mark Duggan

    Wayne and Jodi Cooperman Professor and Senior Fellow at the Stanford Institute for Economic Policy Research
    On Leave from 01/01/2025 To 03/31/2025

    BioMark Duggan is a Professor of Economics at Stanford University and a Research Associate at the National Bureau of Economic Research. He received his B.S. and M.S. degrees in Electrical Engineering at M.I.T. in 1992 and 1994, respectively, and his Ph.D. in Economics from Harvard University in 1999. He currently is a Co-Editor at the American Economic Journal: Economic Policy and was previously a Co-Editor at the Journal of Public Economics. Before arriving to Stanford in the summer of 2014, Duggan served on the faculty at the University of Pennsylvania's Wharton School (2011-14), the University of Maryland's Economics Department (2003-11), and the University of Chicago's Economics Department (1999-2003).

    Professor Duggan's research focuses primarily on the effect of government expenditure programs such as Social Security, Medicare, and Medicaid on the behavior of individuals and firms. Some of his more recent research is exploring the effect of federal disability programs on the labor market and of changes to the Medicare and Medicaid programs on the cost and quality of health care. He is also estimating the effect of patent reforms in India on the price and utilization of pharmaceutical treatments. His research has been published in leading academic journals including the American Economic Review, the Journal of Political Economy, and the Quarterly Journal of Economics and has been featured in outlets such as The Economist, the New York Times, and the Wall Street Journal.

    Professor Duggan was the 2010 recipient of the ASHEcon Medal, which is awarded every two years by the American Society of Health Economists to the economist aged 40 and under in the U.S. who has made the most significant contributions to the field of health economics. Along with his co-author Fiona Scott Morton, he received the National Institute for Health Care Management's 2011 Health Care Research Award for their work on Medicare Part D. He was a Fellow of the Alfred P. Sloan Foundation from 2004 to 2006 and a Visiting Fellow at the Brookings Institution from 2006 to 2007. His research has been funded by the National Science Foundation, the National Institutes of Health, the Social Security Administration, and the Robert Wood Johnson Foundation. Duggan served from 2009 to 2010 as the Senior Economist for Health Care Policy at the White House Council of Economic Advisers and has also been an Expert Witness for the U.S. Department of Justice.

  • Rob Dunbar

    Rob Dunbar

    W.M. Keck Professor in the School of Earth Sciences, Professor of Oceans and Senior Fellow at the Woods Institute for the Environment

    Current Research and Scholarly InterestsOcean processes, biogeochemistry, climatology/paleoclimatology, isotopic chemistry, ocean policy

  • Jennifer Eberhardt

    Jennifer Eberhardt

    Morris M. Doyle Centennial Professor of Public Policy, William R. Kimball Professor at the Graduate School of Business, Professor of Psychology and by courtesy, of Law
    On Leave from 01/01/2025 To 06/30/2025

    Current Research and Scholarly InterestsMy research is on race and inequality. I am especially interested in examining race and inequality in the criminal justice context. My most recent research focuses on how the association of African Americans with crime might matter at different points in the criminal justice system and how this association can affect us in surprising ways.

  • David Freeman Engstrom

    David Freeman Engstrom

    Professor of Law

    BioDavid Freeman Engstrom is the LSVF Professor in Law and Co-Director of the Deborah L. Rhode Center on the Legal Profession at Stanford Law School. He is a scholar of public law, complex organizations, and political economy whose research and teaching explore problems in litigation procedure, administrative law, artificial intelligence and the law, constitutional law, civil rights, and access to courts. He is a faculty affiliate at the Stanford Institute for Human-Centered Artificial Intelligence, the Regulation, Evaluation, and Governance Lab (RegLab), and CodeX: The Stanford Center for Legal Informatics. Engstrom currently serves as the Reporter for the American Law Institute’s Principles of the Law, High-Volume Civil Adjudication. He co-founded the Filing Fairness Project, a multi-state effort to modernize court filing systems and widen access to our courts. He is an elected member of the American Law Institute, a Public Member of the Administrative Conference of the United States (ACUS), and a Fellow of the American Bar Foundation. Prior to joining the Stanford faculty, he was a litigator at a boutique D.C. law firm, where he represented clients before the U.S. Supreme Court and other courts and agencies, and clerked for Judge Diane P. Wood on the U.S. Court of Appeals for the Seventh Circuit.

  • Stefano Ermon

    Stefano Ermon

    Associate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
    On Partial Leave from 10/01/2024 To 06/30/2025

    BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.

    My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability.

  • Loredana Fattorini

    Loredana Fattorini

    Research Associate, Institute for Human-Centered Artificial Intelligence (HAI)

    BioLoredana is a Research Associate at Stanford's Institute for Human-Centered Artificial Intelligence (HAI), where she is a member of the AI Index team. She is primarily involved in preparing the AI Index annual report and developing the Global AI Vibrancy tool. Using data analysis techniques, Loredana helps make complex information regarding the rapidly evolving AI landscape more accessible and understandable for policymakers, industry leaders, researchers, and the general public.

    With a Ph.D. in Applied Economics from the IMT School for Advanced Studies Lucca, Italy, Loredana has conducted empirical research in the fields of Industrial Organization and International Trade. She also holds both Bachelor's and Master's degrees with honors in Economics from the University of Pisa and Scuola Superiore Sant'Anna, Italy.

    Before joining HAI, Loredana worked as a Visiting Researcher at the Vienna Institute for International Economic Studies (WiiW). Her research focused on the competitiveness of firms in Europe, as part of a project funded by the Austrian National Bank. Additionally, she worked as a Data Analyst for a fast-growing eCommerce startup that managed online sales for Europe's largest food retail cooperative.