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

Back to calendar

All talks listed in Pacific Time. Schedule subject to change.

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)

11:45 a.m. – 12 p.m.

Computation with sequences of neuronal assemblies

Max Dabagia (Georgia Tech)

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)

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)

4:15 – 5 p.m.

Discussion (Lead: Jacob Andreas)

5 – 6 p.m.

Reception

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)

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)

10:30 – 11 a.m.

Break

11 – 11:45 a.m.

A comparative cognition approach to evaluating AI capabilities

Lucy Cheke (Cambridge)

11:45 a.m. – 12 p.m.

Lightning Talk: The Perception Test

Viorica Patraucean (Google DeepMind)

12 – 1:30 p.m.

Lunch (on your own)

1:30 – 2:15 p.m.

10 AIs or 10B AIs

Joao Carreira (Google DeepMind)

2:15 – 3 p.m.

Linguistic Interaction in Humans and Machines

Yoav Artzi (Cornell University)

3 – 3:30 p.m.

Break

3:30 – 4:15 p.m.

What can be passively learned about causality?

Andrew Lampinen (Google DeepMind)

4:15 – 5 p.m.

Discussion (Lead: Shiry Ginosar)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:15 a.m.

Educability (Virtual Talk)

Leslie Valiant (Harvard University)

10:15 – 10:45 a.m.

Break

10:45 – 11:30 a.m.

Cultural Evolution

Alison Gopnik (UC Berkeley)

11:30 a.m. – 12 p.m.

Social Behavior Prediction from Video Observations

Shiry Ginosar (UC Berkeley)

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)

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)

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)

4:15 – 5 p.m.

Discussion (Lead: Uri Hasson)

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)

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)

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)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:15 a.m.

Talk by

David Chalmers (NYU)

10:15 – 11:15 a.m.

AI Consciousness is Inevitable: A Theoretical Computer Science Perspective

Lenore Blum (Carnegie Mellon University)

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)

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)

2:15 – 2:45 p.m.

Quantitative research programs relating metacognition and consciousness

Megan Peters (UC Irvine)

2:45 – 3:15 p.m.

From Simulated Subjectivity to Collective Consciousness in Large Language Models

James Evans (University of Chicago)

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)

4:15 – 4:45 p.m.

Discussion (Lead: Lenore Blum)

4:45 – 5 p.m.

Closing Words