This agenda may be updated due to speaker availability and scheduling changes.

Wednesday, Oct 7

9:00-9:05 am

Welcome 

Speakers:

Fei-Fei Li, Sequoia Professor, Computer Science Department; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence

9:05-9:15 am

Introduction

Speakers:

Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence

Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
 

9:15-11:30 am

Research Talks

Speakers:

AI, Psychology, and Neuroscience: The View from DeepMind
Matthew Botvinick, Director of Neuroscience Research, DeepMind; Honorary Professor, Computational Neuroscience Unit, University College London

Self-Supervised Learning of Visual (And Other) Representations
Dan Yamins, Assistant Professor of Psychology and Computer Science, Stanford University; Faculty Scholar, Wu Tsai Neurosciences Institute

How Not to Create a Robot's Mind
Chelsea Finn, Assistant Professor of Computer Science and Electrical Engineering, Stanford University

Panel Discussion

Moderators: Christopher Manning and Surya Ganguli

11:30 am-12:00 pm 

Break

12:00-2:40 pm

Research Talks

Speakers:

How to Allow Deep Learning on Your Data Without Revealing Your Data: 
Simple and Effective Approaches to Privacy
Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University

Commonsense Intelligence: Cracking the Longstanding Challenge in AI
Yejin Choi, Associate Professor, University of Washington; Senior Research Manager, Allen Institute for Artificial Intelligence

Incorporating Insights from Cognitive Science into AI
Aude Oliva, MIT Director, MIT-IBM Watson AI Lab; Co-Director, MIT Quest for Intelligence

Scaling AI the Human Way: Reverse-Engineering Core Common Sense with Probabilistic Programs, Program Induction, and the Game Engine in the Head
Joshua Tenenbaum, Professor of Computational Cognitive Science, MIT

Panel Discussion

Moderators: Christopher Manning and Surya Ganguli

2:40-3:10 pm 

Triangulating Intelligence at Stanford

Speakers:

Michael Frank, David and Lucile Packard Professor of Human Biology, and Director, Symbolic Systems Program, Stanford University

Christopher Manning, Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence

Surya Ganguli, Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University; Faculty Associate Director, Stanford Institute for Human-Centered Artificial Intelligence