HAI's fall 2020 conference, "Triangulating Intelligence: Melding Neuroscience, Psychology, and AI," focused on the latest research on cognitive science, neuroscience, vision, language, and thought informing the pursuit of artificial intelligence.

Session 2
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: 28:00
Yejin Choi, Associate Professor, University of Washington; Senior Research Manager, Allen Institute for Artificial Intelligence

Incorporating Insights from Cognitive Science into AI: 53:21
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: 1:21:05
Joshua Tenenbaum, Professor of Computational Cognitive Science, MIT

Panel Discussion: 1:54:29

Session 3
Triangulating Intelligence at Stanford: 2:48:54
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

Bill Newsome, Harman Family Provostial Professor of Neurobiology, Stanford University School of Medicine; Vincent V.C. Woo Director, Wu Tsai Neurosciences Institute