How AI Fails Us, and How Economics Can Help - Michael I. Jordan

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How AI Fails Us, and How Economics Can Help - Michael I. Jordan

A Distinguished Lecture on the Status and Future of AI. Presented by CITRIS and the Banatao Institute and BAIR.

By CITRIS and the Banatao Institute

When and where

Date and time

Wednesday, April 19 · 12 - 1pm PDT

Location

Sutardja Dai Hall - Banatao Auditorium 2594 Hearst Avenue Berkeley, CA 94720

About this event

  • 1 hour
  • Mobile eTicket

Speaker:

Michael I. Jordan, Distinguished Professor of Electrical Engineering and Computer Science and of Statistics, UC Berkeley

About Talk:

AI has focused on a paradigm in which intelligence inheres in a single agent, and in which agents should be autonomous so that they can exhibit their intelligence independent of any tethering to human intelligence. Social aspects are entirely secondary in this paradigm. Thus, when AI systems are deployed in social contexts, the overall design of such systems is often naive—a centralized entity provides services to passive agents and reaps the rewards. Such a paradigm need not be the dominant paradigm for information technology. In a broader framing, agents are active, they are cooperative, and they wish to obtain value from their participation in learning-based systems. Agents may supply data and other resources to the system, only if it is in their interest to do so. Critically, intelligent inheres as much in the overall system as it does in individual agents, be they humans or computers. This perspective is not unfamiliar to economics researchers, and thus a first goal in this line of work is to bring economics into contact with computer science and statistics. The long-term goal is two-fold—to provide a broader conceptual foundation for emerging real-world AI systems, and to upend received wisdom in the computational, economic, and inferential disciplines.

About Speaker:

Michael I. Jordan is the Pehong Chen Distinguished Professor in the departments of electrical engineering and computer science and of statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, biological and social sciences. Jordan is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences, and a foreign member of the Royal Society. He was a plenary lecturer at the International Congress of Mathematicians in 2018. He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize from the Cognitive Science Society in 2015 and the ACM/AAAI Allen Newell Award in 2009.

About the Series:

The CITRIS Research Exchange and Berkeley Artificial Intelligence Research Lab (BAIR) present a distinguished speaker series exploring the recent breakthroughs of AI, its broader societal implications and its future potential. Each seminar takes place on Wednesdays from noon to 1:00 p.m. in the Banatao Auditorium at Sutardja Dai Hall on the UC Berkeley campus and will be livestreamed on YouTube. All talks are free and open to the public.

About the organizer

The Center for Information Technology Research in the Interest of Society and the Banatao Institute (CITRIS) creates information technology solutions for society’s most pressing challenges.

Free