(R?)evolution Times. Prof. Moshe Tennenholtz (Technion)

Prof. Moshe Tennenholtz, Technion
Will lecture on: (R?)evolution Times

Recent years have shown dramatic progress in AI. Deep learning approaches employing the so-called “foundational models” are shaking the grounds of technology allowing for innovative products and services at quite an amazing speed. Criticisms and failures of these approaches have been considered: the need to incorporate symbolic and discrete reasoning, incorporating causal reasoning, and reach explainable models, among others. Our focus is complementary – how should we go beyond the autonomous agent to design AI systems that deal with non-cooperative settings? We focus on three fundamental issues: the non-cooperative use of data, non-cooperative data sharing, and the strategic dynamics of data, all moving us from an autonomous agent perspective to multi-agent systems / economic design challenges. The talk will introduce the way we view state-of-the-art, illustrate the above challenges, and some work on their solutions.

Short Bio:
Moshe Tennenholtz is the Sodenheimer Profesor at the Technion. He received his B.Sc. in Mathematics from Tel-Aviv University in 1986, and his M.Sc. and Ph.D. in 1987 and 1991) respectively from the Department of Applied Mathematics and Computer Science in the Weizmann Institute. From 1991 to 1993 he worked in the Robotics Laboratory at Stanford University, after which he joined the faculty at the Technion. He returned to Stanford as a visiting professor from 1999 to 2002 before returning to the Technion. In 2008 he started working at Microsoft Research and in 2011 he founded the basic research group at the Microsoft Israel R&D center. He has served as editor-in-chief of the Journal of Artificial Intelligence Research, associate editor of Games and Economic Behavior, the international journal of Autonomous Agents and Multi-Agent Systems, served on the editorial board of the Journal of Machine Learning Research, and served on the editorial board of AI Magazine. He served as program chair of the ACM Electronic Commerce conference and of the TARK conference. He is an AAAI Fellow, an ACM fellow, and a fellow of the Society for the Advancement of Economic Theory. He is a winner of the Allen Newell award and of the John McCarthy award for pioneering contributions to the interplay between artificial intelligence and game theory. He also received the ACM SIGART Autonomous Agents Research Award.