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Understanding Higher-Level Intelligence from AI, Psychology, and Neuroscience Perspectives
Program
Summer Cluster: AI, Psychology, and Neuroscience
Location
Calvin Lab auditorium
Date
Monday, June 24
–
Friday, June 28, 2024
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Workshop & Symposia
Schedule
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The Workshop
Schedule
Videos
All talks listed in Pacific Time. Schedule subject to change.
Monday, June 24, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
9:45 a.m.
Opening Remarks
9:45
–
10:30 a.m.
What neural machinery is needed for language acquisition (Virtual Talk)
Christos Papadimitriou (Columbia University)
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Language Models as World Models?
Jacob Andreas (MIT)
Video
11:45 a.m.
–
12 p.m.
Computation with sequences of neuronal assemblies
Max Dabagia (Georgia Tech)
Video
12
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:15 p.m.
Bridging the data gap between LLMs and children
Michael Frank (Stanford University)
Video
2:15
–
3 p.m.
Learning to Reason, Insights from Language Modeling
Noah Goodman (Stanford University)
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
How grounded are ungrounded LLM models
Trevor Darrell (UC Berkeley)
Video
4:15
–
5 p.m.
Discussion (Lead: Jacob Andreas)
5
–
6 p.m.
Reception
Tuesday, June 25, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10 a.m.
Lightning Talks
Mirabel Reid (Georgia Tech)
,
Paul Liang (Carnegie Mellon University)
Video
10
–
10:15 a.m.
The Simplest Neural Models, and Neurally Plausible Algorithms for Language
Daniel Mitropolsky (Columbia University)
10:15
–
10:30 a.m.
KiVA: Kid-inspired Visual Analogies for Large Multimodal Models
Eunice Yiu (UC Berkeley)
Video
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
A comparative cognition approach to evaluating AI capabilities
Lucy Cheke (Cambridge)
Video
11:45 a.m.
–
12 p.m.
Lightning Talk: The Perception Test
Viorica Patraucean (Google DeepMind)
Video
12
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:15 p.m.
10 AIs or 10B AIs
Joao Carreira (Google DeepMind)
Video
2:15
–
3 p.m.
Linguistic Interaction in Humans and Machines
Yoav Artzi (Cornell University)
Video
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
What can be passively learned about causality?
Andrew Lampinen (Google DeepMind)
Video
4:15
–
5 p.m.
Discussion (Lead: Shiry Ginosar)
Wednesday, June 26, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:15 a.m.
Educability (Virtual Talk)
Leslie Valiant (Harvard University)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:30 a.m.
Cultural Evolution
Alison Gopnik (UC Berkeley)
Video
11:30 a.m.
–
12 p.m.
Social Behavior Prediction from Video Observations
Shiry Ginosar (UC Berkeley)
Video
12
–
1:15 p.m.
Lunch (on your own)
1:15
–
1:45 p.m.
Retrospective on multi-agent learning as a path to intelligence
Igor Mordatch (Google DeepMind)
Video
1:45
–
2:30 p.m.
Emerging interactions in humans and machines: from Social Physiology to Social Neuro-AI
Guillaume Dumas (CR-CHUSJ / Mila - Quebec AI Institute, University of Montreal)
Video
2:30
–
3 p.m.
Break
3
–
3:30 p.m.
The First 1000 Days Project: A Novel Framework for Modeling Human Development
Uri Hasson (Princeton)
3:30
–
4:15 p.m.
The Development of Sociality in Language and Thought
Justine Cassell (Carnegie Mellon University & Inria Paris)
Video
4:15
–
5 p.m.
Discussion (Lead: Uri Hasson)
Thursday, June 27, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
9:45 a.m.
What does it all mean anyway? Decoding ape communication. (Remote from the Ugandan forest)
Catherine Hobaiter (University of St. Andrews)
Video
9:45
–
10:30 a.m.
We are (still!) not giving Data enough credit
Alexei (Alyosha) Efros
10:30
–
11 a.m.
Break
11
–
11:30 a.m.
A compositional code for dynamic scenes across the macaque brain (Not livestreamed or recorded)
Doris Tsao (UC Berkeley)
11:30 a.m.
–
12 p.m.
AI and Emotions: opportunities and challenges
Àgata Lapedriza (Northeastern University)
Video
12
–
1:30 p.m.
Lunch (on your own)
1:30
–
2:15 p.m.
LLMs as a cognitive model for natural lanaguge processing in the human brain
Uri Hasson (Princeton)
2:15
–
2:45 p.m.
Optimal flexible inference for behavior without generative world models
Daniel McNamee (Champalimaud Research)
2:45
–
3 p.m.
Lightning Talk
Jathushan Rajasegaran (BAIR)
3
–
3:30 p.m.
Break
3:30
–
4:15 p.m.
The distributed conceptual network in the human brain
Jack Gallant (UC Berkeley)
4:15
–
5 p.m.
Discussion (Lead: Jack Gallant)
Friday, June 28, 2024
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:15 a.m.
Talk by
David Chalmers (NYU)
Video
10:15
–
11:15 a.m.
AI Consciousness is Inevitable: A Theoretical Computer Science Perspective
Lenore Blum (Carnegie Mellon University)
Video
11:15
–
11:45 a.m.
Break
11:45 a.m.
–
12:15 p.m.
On the Hard Problem of Pain
Manuel Blum (Carnegie Mellon University)
Video
12:15
–
1:45 p.m.
Lunch (on your own)
1:45
–
2:15 p.m.
How Can We Detect Consciousness in Infants?
Claudia Passos Ferreira (NYU)
Video
2:15
–
2:45 p.m.
Quantitative research programs relating metacognition and consciousness
Megan Peters (UC Irvine)
Video
2:45
–
3:15 p.m.
From Simulated Subjectivity to Collective Consciousness in Large Language Models
James Evans (University of Chicago)
Video
3:15
–
3:45 p.m.
Break
3:45
–
4:15 p.m.
Coin-Flipping in the Brain: Probabilistic Computation and Learning in the Assembly Model
Santosh Vempala (Georgia Institute of Technology)
Video
4:15
–
4:45 p.m.
Discussion (Lead: Lenore Blum)
4:45
–
5 p.m.
Closing Words
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