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AI100 Standing Committee 


Russ Altman headshot

Russ Altman 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.

Mary Gray headshot

Mary L. Gray is a Senior Researcher at Microsoft Research and Fellow at Harvard University’s 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 technology access, material conditions, 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).

Eric Horvitz is a Distinguished Scientist and Managing Director of Microsoft Research Redmond. His research focuses on the principles and applications of machine intelligence, including methods for leveraging the complementarities of human and machine reasoning. He is a fellow and former president of the AAAI, as well as a fellow of the National Academy of Engineering, the Association for Computing Machinery, and the American Association for the Advancement of Science. In 2013 he was elected to the CHI Academy, honoring his significant contributions to the field of human-computer interaction.

Percy Liang headshot

Percy Liang is an Assistant Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research spans machine learning and natural language processing, with the goal of developing trustworthy agents that can communicate effectively with people and improve over time through interaction. Specific topics include question answering, dialogue, program induction, interactive learning, and reliable machine learning. His awards include the IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).

Patrick Lin headshot

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.

James Manyika headshot

James Manyika is a Senior Partner at McKinsey and Director of the McKinsey Global Institute. James was appointed by President Obama as Vice Chair of the Global Development Council at the White House. He is on the boards of Council on Foreign Relations, Aspen Institute, John D. and Catherine T. MacArthur Foundation, Oxford Internet Institute, MIT’s Initiative on the Digital Economy, UC Berkeley’s School of Information. James was in the Robotics Research Group, Programming Research Group, Oxford, a visiting scientist NASA Jet Propulsion Labs, a faculty exchange fellow at MIT. A Rhodes Scholar, James holds DPhil. MSc. MA. from Oxford in Robotics, Computation, BSc Electrical Engineering from University of Zimbabwe.

Milind Tambe is Helen N. and Emmett H. Jones Professor in Engineering at the University of Southern California(USC) and the Founding Co-Director of CAIS, the USC Center for Artificial Intelligence in Society, where his research focuses on advancing AI and multiagent systems research for Social Good. He is a fellow of AAAI and ACM, as well as recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award, Christopher Columbus Fellowship Foundation Homeland security award, INFORMS Wagner prize in Operations Research, Rist Prize of the Military Operations Research Society, Okawa foundation award, RoboCup scientific challenge award, and others. For his pioneering security games research and deployment, he has received meritorious commendations from the US Coast Guard, LA Airport Police, and the US Federal Air Marshals Service.