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Cooperative AI
Title: Cooperative AI
Speaker: Kate Larson | University of Waterloo
Date: October 3, 2024
Time: 4 pm
Room: LH3058 (Lazaridis Hall (Math Boardroom), Room 3058) & Hybrid
Abstract: Problems of cooperation are ubiquitous and important. They can be found at scales ranging from our daily routines--such as driving on highways, scheduling meetings, and working collaboratively--to our global challenges--such as peace, commerce, and pandemic preparedness. Since machines powered by AI are playing an ever greater role in our lives, it will be important to equip them with the capabilities necessary to cooperate and foster cooperation. In this talk, I will discuss some of the research challenges that emerge when we place cooperation at the heart of AI systems.
Bio: Kate Larson is a professor and holds a University Research Chair at the University of Waterloo and is a research scientist at Google DeepMind. She is interested in algorithmic questions arising in artificial intelligence and multiagent systems with a particular focus on algorithmic game theory, decision making, preference modeling, and the insights that reinforcement learning can bring to these problems, along with ways of promoting and supporting cooperative AI. Among many things, she is co-editor-in-chief of the Journal of Autonomous Agents and Multiagent Systems and served as program chair for IJCAI 2024.