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Behavioral ML
NeurIPS 2024 Workshop on Behavioral Machine Learning
Date: December 14, 2024 (at NeurIPS in Vancouver, Canada) from 8:45am-5pm
Location: East Meeting Rooms 19&20 ( take the escalator one level up after entering the East Building ).
Across many application areas, machine learning systems rely on human data. Yet these systems often leave unmodelled the psychological processes that generate human data.
Fortunately, there's a field full of insights about human behavior: the behavioral sciences. However, many of these insights are qualitative. Integrating them into machine learning systems requires converting them into computational models and designing machine learning systems to incorporate them.
The goal of this workshop is to explore the incorporation of insights from the behavioral sciences into AI models/systems. We hope to bring together computer scientists across many subfields — e.g. AI, robotics, HCI — with behavioral scientists to drive progress in this interdisciplinary area.
Michael Bernstein Stanford University
Tom Griffiths Princeton University
Hoda Heidari Carnegie Mellon University
Hannah Rose Kirk University of Oxford
Katie Collins University of Cambridge
Diag Davenport UC Berkeley
Kawin Ethayarajh Princeton University
Katy Gero Harvard University
Jon Kleinberg Cornell University
Ilia Sucholutsky Princeton University
Keyon Vafa Harvard University