AI100 Standing Committee
Peter Stone (Chair) is the David Bruton, Jr. Centennial Professor and Associate Chair of Computer Science, as well as Chair of the Robotics Consortium, at the University of Texas. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. Professor Stone's research interests in Artificial Intelligence include machine learning (especially reinforcement learning), multiagent systems, and robotics. He is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, and AAAS Fellow. In 2007 he received the IJCAI Computers and Thought Award and in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award. Professor Stone co-founded Cogitai, Inc., a startup company focussed on continual learning, in 2015, and currently serves as President and COO.
Vincent Conitzer (Chair-elect) is the Kimberly J. Jenkins Distinguished University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. He is also Head of Technical AI Engagement at the Institute for Ethics in AI, and Professor of Computer Science and Philosophy, at the University of Oxford. He received Ph.D. (2006) and M.S. (2003) degrees in Computer Science from Carnegie Mellon University, and an A.B. (2001) degree in Applied Mathematics from Harvard University. Conitzer works on artificial intelligence (AI). Much of his work has focused on AI and game theory, for example designing algorithms for the optimal strategic placement of defensive resources. More recently, he has started to work on AI and ethics: how should we determine the objectives that AI systems pursue, when these objectives have complex effects on various stakeholders?
Barbara Grosz (Past-Chair) is a Higgins Research Professor of Natural Sciences at Harvard University. Grosz’s research in Artificial Intelligence (AI) aims to develop the capabilities needed for computer-agent systems to function as intelligent, helpful team members over the long term and in uncertain, dynamic environments. It aspires to understand thinking and intelligence in ways that enable the construction of computer systems capable of acting intelligently and to inform the design of such systems. Professor Grosz’s contributions to AI include pioneering research in natural language processing and in theories of multi-agent collaboration and their application to human-computer interaction.
Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER). His research examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and intangible assets. A best-selling author, he writes and speaks to global audiences about these topics.
Mary L. Gray is a Senior Principal Researcher at Microsoft Research, Fellow at Harvard University’s Safra Center for Ethics and Faculty Affiliate of the Berkman Klein Center for Internet and Society. She maintains a faculty appointment in the School of Informatics and Computing, and affiliations with Anthropology, Gender Studies and the Media School, at Indiana University. Mary studies how access to technology and everyday uses of media transform people’s lives. Her research appears in publications that include the Harvard Business Review, International Journal of Communication, Cultural Anthropology, New York Times, Los Angeles Times, and Forbes. She served on the American Anthropological Association’s Executive Board and currently sits on the Executive Board of Public Responsibility in Medicine and Research (PRIM&R) and the Strada Education Network.
Ayanna Howard is the Dean of Engineering at The Ohio State University and Monte Ahuja Endowed Dean's Chair. Previously she was the Linda J. and Mark C. Smith Endowed Chair in Bioengineering and Chair of the School of Interactive Computing at the Georgia Institute of Technology. In addition, she serves on the Board of Directors for the Partnership on AI and Autodesk. Dr. Howard’s research encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics, and has resulted in over 250 peer-reviewed publications. She is an IEEE and AAAI Fellow and recipient of the CRA A. Nico Habermann Award, Richard A. Tapia Achievement Award, and NSBE Janice Lumpkin Educator of the Year Award. To date, Dr. Howard’s unique accomplishments have been highlighted through a number of other public recognitions, including being recognized as one of the 23 most powerful women engineers in the world by Business Insider and one of the Top 50 U.S. Women in Tech by Forbes. In 2013, she also founded Zyrobotics, which develops STEM educational products to engage children of all abilities. Prior to Georgia Tech, Dr. Howard was at NASA's Jet Propulsion Laboratory where she held the title of Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist.
Patrick Lin, PhD, is the director of the Ethics + Emerging Sciences Group, based at California Polytechnic State University, San Luis Obispo, where he is a philosophy professor. Current affiliations include Stanford Law School, Notre Dame, and World Economic Forum. Previous affiliations include Stanford Engineering, US Naval Academy, Dartmouth, and UNIDIR. He is well published in technology ethics, especially in AI and robotics and including the books Robot Ethics (MIT Press, 2012) andRobot Ethics 2.0 (Oxford University Press, 2017). Dr. Lin regularly gives invited briefings to industry, media, and government; and he teaches courses in ethics, technology, and law.
Sheila McIlraith is a Professor in the Department of Computer Science at the University of Toronto, a Canada CIFAR AI Chair (Vector Institute), and an Associate Director and Research Lead at the Schwartz Reisman Institute for Technology and Society. McIlraith's research is in the area of AI sequential decision making broadly construed, with a focus on human-compatible AI. McIlraith is a Fellow of the ACM and the Association for the Advancement of Artificial Intelligence (AAAI). She was a member of the 2009 study group on long-term AI futures.
Liz Sonenberg is Professor of Information Systems at the University of Melbourne, Australia. Her expertise is in the design of reasoning mechanisms for multi-agent and human-agent systems intended to exhibit collaborative behaviours, and particularly in computational approaches that can support human decision-making. Her current research focus is on explanation and on strategic deception in AI. She has served on a variety of advisory boards and formal company boards. Liz previously held positions as Dean of the Faculty of Science and Head of the Department of Information Systems, and is currently Pro Vice Chancellor Research Systems, and Pro Vice Chancellor Digital & Data, with responsibility for a range of University-wide policies.
Judy Wajcman is the Anthony Giddens Professor of Sociology at the London School of Economics, and a Fellow at the Alan Turing Institute for Data Science and AI. She has been the recipient of career achievement awards from both the American Sociological Association and the Oxford Internet Institute for her contributions to the field of the social study of science and technology. Her recent research is about the impact of digital technologies on the experience of time in everyday life. She is currently leading a project at the Turing Institute on Women in data science and AI.
Russ Altman (Faculty Director) is the Kenneth Fong Professor at Stanford, where he holds appointments in bioengineering, genetics, medicine and computer science. He is interested in the application of computing to basic problems in biology. His current research includes a project on representing the knowledge in scientific papers so that computers can easily access and use it. He is a fellow of the American College of Physicians, the American Institute for Medical and Biological Engineering and the International Society for Computational Biology. He is also a member of the Institute of Medicine of the National Academies.
Study Panels are planned to convene every 5 years to examine some aspect of AI and its influences on society and the world. The first study panel was convened in late 2015 to study the likely impacts of AI on urban life by the year 2030, with a focus on typical North American cities.
2020 Study Panel Members
- Michael Littman, Chair, Brown University
- Ifeoma Ajunwa, Cornell University
- Guy Berger, LinkedIn
- Craig Boutilier, Google
- Morgan Currie, The University of Edinburgh
- Finale Doshi-Velez, Harvard University
- Gillian Hadfield, University of Toronto
- Michael Horowitz, University of Pennsylvania
- Charles Isbell, Georgia Institute of Technology
- Hiroaki Kitano, Sony AI, and Okinawa Institute of Science and Technology Graduate University
- Karen Levy, Cornell University
- Terah Lyons
- Melanie Mitchell, Portland State University
- Julie Shah, Massachusetts Institute of Technology
- Steven Sloman, Brown University
- Shannon Vallor, The University of Edinburgh
- Toby Walsh, University of New South Wales
2015 Study Panel Members
- Peter Stone, Chair, University of Texas at Austin
- Rodney Brooks, Rethink Robotics
- Erik Brynjolfsson, Massachusetts Institute of Technology
- Ryan Calo, University of Washington
- Oren Etzioni, Allen Institute for AI
- Greg Hager, Johns Hopkins University
- Julia Hirschberg, Columbia University
- Shivaram Kalyanakrishnan, Indian Institute of Technology Bombay
- Ece Kamar, Microsoft Research
- Sarit Kraus, Bar Ilan University
- Kevin Leyton-Brown, University of British Columbia
- David Parkes, Harvard University
- William Press, University of Texas at Austin
- AnnaLee (Anno) Saxenian, University of California, Berkeley
- Julie Shah, Massachussets Institute of Technology
- Milind Tambe, University of Southern California
- Astro Teller, X