Cooperative AI Workshop
James D. Fearon is Theodore and Frances Geballe Professor in the School of Humanities and Sciences and Professor of Political Science at Stanford University. He has produced multiple field-changing works on international and domestic cooperation and conflict. A prominent survey of international relations scholars voted him in the top 10 scholars who have had the greatest influence on the field of International Relations in the past 20 years.
Gillian Hadfield is the inaugural Schwartz Reisman Chair in Technology and Society, Professor of Law, and Professor of Strategic Management. Her research is focused on innovative design for legal and dispute resolution systems in advanced and developing market economies; governance for artificial intelligence (AI); the markets for law, lawyers, and dispute resolution; and contract law and theory.
William Isaac is a Research Scientist with DeepMind’s Ethics and Society Team, with a particular interest in ethical cooperation among both humans and agents. Prior to DeepMind, William served as an Open Society Foundations Fellow and Research Advisor for the Human Rights Data Analysis Group focusing on bias and fairness in machine learning systems. William’s prior research centering on deployments of machine learning in the US criminal justice system has been featured in publications such as Science, the New York Times, and the Wall Street Journal.
Sarit Kraus is a Professor of Computer Science at Bar-Ilan University. Her research is focused on intelligent agents and multi-agent systems (including people and robots). She was awarded the IJCAI Computers and Thought Award, ACM SIGART Agents Research award, ACM Athena Lecturer, the EMET prize and was twice the winner of the IFAAMAS influential paper award. She is AAAI, ECCAI and ACM fellow and a recipient of the advanced ERC grant.
Peter Stone is founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory in the Department of Computer Science at The University of Texas at Austin. He is also Executive Director of Sony AI America and President of the International RoboCup Federation. Prof. Stone is interested in understanding how we can best create complete intelligent agents based on adaptation, interaction, and embodiment with research in machine learning, multiagent systems, and robotics.
Cooperative AI Panel
Kate Larson is a professor in the Cheriton School of Computer Science at the University of Waterloo and is a Research Scientist at DeepMind. Kate is affiliated with the AI group and also currently holds a University Research Chair and the Pasupalak AI Fellowship. Kate is interested in issues that arise in settings where self-interested agents interact, where these agents may be AI-agents, humans, or a combination. In particular, she is interested in understanding how computational limitations influence strategic behavior in multiagent systems, as well as developing approaches to address computational issues which arise in practical applications of multiagent systems.
Natasha Jaques holds a joint position as a Research Scientist at Google Brain and post-doc at UC Berkeley. Her research focuses on social reinforcement learning---developing multi-agent RL algorithms that can improve single-agent learning, generalization, coordination, and human-AI collaboration. Natasha received her PhD from MIT, where she focused on Affective Computing and deep/reinforcement/machine learning. Her work has received the best demo award at NeurIPS 2016, best paper at the NeurIPS ML for Healthcare workshop, and an honourable mention for best paper at ICML 2019. She has interned at DeepMind, Google Brain, and is an OpenAI Scholars mentor. Her work has been featured in Quartz, the MIT Technology Review, Boston Magazine, and on CBC radio. Natasha earned her Masters degree from the University of British Columbia, and undergraduate degrees in Computer Science and Psychology from the University of Regina.
Jeffrey S. Rosenschein is Director of the Multiagent Systems Research Group at The Hebrew University of Jerusalem, which made its mark in early work on game theory and mechanism design as applied to multiagent negotiation and planning. That research explored issues of cooperation and competition among agents, and the use of economic theory, voting theory, and game theory to establish appropriate foundations for Multiagent Systems (MAS). More recent work has touched on a variety of additional AI research areas, including computational social choice, search, planning, multiagent learning, reputation systems, and dynamic control. He is a Fellow of the Association for Computing Machinery, the Association for the Advancement of Artificial Intelligence, the European Association for Artificial Intelligence, and is also a recipient of the ACM/SIGART Autonomous Agents Research Award.
Mike Wooldridge is Head of Department and Professor of Computer Science in the Department of Computer Science at the University of Oxford, and a Senior Research Fellow at Hertford College. Mike joined Oxford on 1 June 2012; before this he was for twelve years a Professor of Computer Science at the University of Liverpool. His main research interests are in the use of formal techniques of one kind or another for reasoning about multiagent systems and is particularly interested in the computational aspects of rational action in systems composed of multiple self-interested computational systems. His current research is at the intersection of logic, computational complexity, and game theory.