Virtual Panel Discussion: Jul 19, 2022 1:00 PM EDT
In-person Discussion Group @ CogSci: Jul 28, 2022 4:40 PM EDT
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How can we tell how well a neural network is emulating human behavior?
This discussion group will focus on the use of neural network models to capture human cognitive abilities. Our session will provide a forum for researchers who use both traditional and contemporary neural network models to understand aspects of human cognition and will provide an opportunity for engagement around broader themes and specific topics of interest to subgroups. In the context of high-profile releases from AI companies touting new successes of deep learning/neural network-based AI systems and ongoing efforts to determine the relevance of these systems for understanding human cognition, our theme this year will be ‘How can we tell how well a neural network is emulating human behavior?’
Virtual Panel Discussion
Date: July 19, 2022
Time: 1:00 PM - 2:00 PM EDT
- Jacob Andreas, X Consortium Assistant Professor at MIT in EECS and CSAIL
- Ishita Dasgupta, Research Scientist @ DeepMind
- Grace Lindsay, Sainsbury Wellcome Centre/Gatsby Computational Neuroscience Unit Research Fellow at UCL, and soon to be Assistant Professor of Psychology and Data Science @ NYU
- Ellie Pavlick, Assistant Professor of Computer Science @ Brown University, and Research Scientist @ Google AI
In-person Discussion Group @ CogSci
Date: July 28, 2022
Time: 4:40 PM - 6:15 PM EDT
Venue: Metro Toronto Convention Center (ROOM TBA)
Watch the Plenary
How to join
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