Embedded Files
Date: Saturday June 11, 2022
Time: 1pm-5pm
Location: 85 Waterman Street, Room 130, Brown University, Providence, Rhode Island, USA
Recordings: hosted by the Mila YouTube Channel (see below)
Theme
Theme
Social norms are learned by individuals, stabilized through alignment by populations, and change with the times. They can shape what we believe as individuals and as a society. Social psychology probes the cognitive processes underlying these phenomena. Separately, social interactions are now being designed into multi-agent reinforcement learning systems to align coordinated behaviour towards specified goals. This workshop aims to strengthen the connection between the subfield of the artificial intelligence community that is incorporating social interactions into multi-agent systems and the social psychology/neuroscience community that is situating decision-making in social contexts. Our speakers will present work on how social norms and influence align individual decision-making with coordinated behaviour by human and machine collectives. The workshop addresses two kinds of applications: how social interactions can improve the performance of MARL systems, and how human-in-the-loop AI could help align social norms with societal value.
Invited Speakers
Invited Speakers
Natasha Jaques holds a joint position as a Senior Research Scientist at Google Brain and Visiting Postdoctoral Scholar at UC Berkeley. She received her PhD from MIT, where she worked on Affective Computing and deep/reinforcement/machine learning.
Madalina Vlasceanu is Assistant Professor leading the Collective Cognition Lab at NYU and is interested in the mechanisms by which individual-level social cognition gives rise to emergent cognitive phenomena such as collective beliefs, collective decision-making, and collective action. Her work focuses on designing, testing, and implementing interventions aimed at stimulating social change and improving societal welfare.
Raphael Köster is a Senior Research Scientist at Deepmind, where he works on the intersection of natural and artificial intelligence. Before that he used to scan brains at UCL.
Ross Otto is Assistant Professor of Psychology at McGill University whose work focuses on understanding human decision-making using cognitive psychology, computational models, and psychophysiological techniques.
Eugene Vinitsky is incoming Assistant Professor at NYU Tandon in 2023 based in Civil Engineering. His overarching research interest is advancing the state of multi-agent learning to enable the synthesis of controllers that can operate in mixed human-autonomous settings.
Schedule
Schedule
1:00-1:45 Ross Otto (invited)
1:45-2:15 Natasha Jaques (invited)
2:15-2:45 Madalina Vlaseanu (invited)
2:45-3:00 Patrick Nalepka (contributed)
3:00-3:45 Raphael Köster (invited)
3:45-4:15 Eugene Vinitsky (invited)
4:15-5:00 Panel Discussion with special guest Fernando P. Santos, University of Amsterdam
Event Recording
Event Recording
The event was recorded. Click on the talk titles above or see all the talks at the YouTube playlist.
Organizers
Organizers
Irina Rish is an Associate Professor in the Computer Science and Operations Research Department at the Université de Montréal and a core faculty member of MILA - Quebec AI Institute. She holds Canada Excellence Research Chair (CERC) in Autonomous AI and a Canadian Institute for Advanced Research (CIFAR) Canada AI Chair.
Guillaume Dumas is Associate Professor in Computational Psychiatry of the Faculty of Medicine at the Université de Montréal and the Director of the Precision Psychiatry and Social Physiology laboratory in the CHU Sainte-Justine research center and associate member at Mila.
Maximilian Puelma Touzel is a Research Associate at Mila and the Université de Montréal. He studies decision-making in humans and machines using methods from computational neuroscience and statistical physics.
Page updated
Report abuse