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UID:20260307T155051-385342403-northwestern.edu
DTSTAMP:20260307T155051
DTSTART:20260212T120000
DTEND:20260212T130000
SUMMARY:CS Student Seminar: Ziyang Guo
LOCATION:3514, Mudd Hall ( formerly Seeley G. Mudd Library)
DESCRIPTION:Title: Complementarity in Human-AI Collaborations\nAbstract: Multi-agent decision pipelines (including human-AI collaboration) can outperform single agent workflows when complementarity holds, i.e., different agents bring unique information to the table to inform a final decision. In this talk, I will present a set of decision-theoretic frameworks we developed to measure and leverage complementarity in multi-agent decision-making. I will share examples of how these tools help diagnose when people should rely on AI, communicate what information is missing, and train language models to surface complementary signals from text to support better decisions.\n\nPiP URL: https://planitpurple.northwestern.edu/event/638928
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ORGANIZER:Department of Computer Science (CS)<do-not-reply@northwestern.edu>