Lecture | April 19 | 12-1 p.m. | Sutardja Dai Hall
Michael I. Jordan, UC Berkeley
CITRIS and the Banatao Institute
Artificial intelligence (AI) has focused on a paradigm in which intelligence inheres in a single agent, and in which agents should be autonomous so they can exhibit intelligence independent of human intelligence. Thus, when AI systems are deployed in social contexts, the overall design is often naive. Such a paradigm need not be dominant. In a broader framing, agents are active and cooperative, and they wish to obtain value from participation in learning-based systems. Agents may supply data and resources to the system, only if it is in their interest. Critically, intelligence inheres as much in the system as it does in individual agents. This perspective is familiar to economics researchers, and a first goal in this work is to bring economics into contact with computer science and statistics. The long-term goal is to provide a broader conceptual foundation for emerging real-world AI systems, and to upend received wisdom in the computational, economic and inferential disciplines.
daisyh@berkeley.edu, 510-829-2250
Daisy Hernandez, daisyh@berkeley.edu, 510-829-2250
Sutardja Dai Hall
On Campus
Michael I. Jordan
UC Berkeley