How AI is failing us and how economics can help

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Video Credits: CITRIS and Banatao Institute

Wednesday, April 19th, Michael I. JordanPehong Cheng, Distinguished Professor of Electrical Engineering and Computer Science and Statistics at the University of California, Berkeley, delivered the third of four special talks on the current state and future of AI. CITRIS research exchange and the Berkeley Artificial Intelligence Research Group (BAIR).

Jordan’s lectures combine the collective-focused disciplines of economics with statistics and computer science to provide a broader conceptual foundation for new real-world artificial intelligence (AI) systems. It is intended to

Michael Jordan

Michael Jordan, Pehong Chen Distinguished Professor of Electrical Engineering, Computer Science, and Statistics, University of California, Berkeley

He characterizes AI as not the discovery or creation of new brilliance of intelligence (hard-to-define properties that include the ability to apply elements of knowledge and reasoning), as is often portrayed in popular culture. . Rather, he sees his AI as reflecting the emergence of a new engineering discipline that connects humans through large-scale systems by combining social sciences, economics and machine learning.

Jordan argues that the current state of AI overestimates autonomy and focuses on the intelligence that resides in a single decision-making body: the agent. The result is a superficial approach to social situations. Instead, agents should be interactive, he said. Intelligence is as important to collectives as it is to individual agents.

“Intelligence, we don’t really know what it is, but it’s not just about the human brain and mind. Markets are intelligent…in a different way than we as individuals,” Jordan said. said Mr.

“We study ant colonies and think about markets,” he said. “But we don’t realize that instead of trying to replace a single human being, we can create a whole new kind of collective that is truly amazing with this computer. Our goals and aspirations are at the collective level.” should.”





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