Agenda

HAI and Stanford University are actively monitoring the status of COVID-19 (coronavirus). The university has strongly encouraged the cancellation or postponement of large events scheduled on campus at least through April 15. In accordance with this university policy, HAI's April 1, 2020 conference on Triangulating Intelligence: Melding Neuroscience, Psychology, and AI has been cancelled. We hope to reschedule the event for later in the year.

Wednesday, April 1, 2020

Time	Session Information
8:00	Registration and Breakfast
9:00-9:10	Welcome John Etchemendy, Provost Emeritus, and Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University; Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Fei-Fei Li, Sequoia Professor, Computer Science Department; Co-Director, Stanford Institute for Human-Centered Artificial Intelligence
9:10-9:30	Introduction 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, Assistant 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
9:30-10:10	AI, Psychology, and Neuroscience: The View From DeepMind Matthew Botvinick, Director of Neuroscience Research, DeepMind; Honorary Professor, Computational Neuroscience Unit, University College London
10:10-10:50	Lightning Talks Tobias Gerstenberg, Assistant Professor of Psychology, Stanford University Krishna Shenoy, Hong Seh and Vivian W. M. Lim Professor of Engineering, Stanford University Hyowon Gweon, Assistant Professor of Psychology, Stanford University
10:50-11:10	Break
11:10-11:50	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
11:50-12:30	Incorporating Insights from Cognitive Science into AI Aude Oliva, Executive Director, MIT-IBM Watson AI Lab; Executive Director, MIT Quest for Intelligence
12:30-2:00	Lunch
2:00-2:40	Opening The Black Box: The Quest for Mathematical Understanding of Deep Learning Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University
2:40-3:20	Common Sense Intelligence: Cracking the Long-Standing Challenge in AI Yejin Choi, Associate Professor, University of Washington; Senior Research Manager, Allen Institute for Artificial Intelligence
3:20-4:00	Lightning Talks Noah Goodman, Associate Professor of Psychology, of Computer Science, and by courtesy, of Linguistics, Stanford University Carlos Guestrin, Amazon Professor of Machine Learning in Computer Science & Engineering, University of Washington Fei-Fei Li, Sequoia Professor, Computer Science Department; Co-Director, Stanford Institute for Human-Centered Artificial Intelligence
4:00-5:20	Break
4:20-5:00	How Not To Create a Robot's Mind Chelsea Finn, Assistant Professor, Stanford University
5:00-5:40	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
5:40-6:00	Closing 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 Michael Frank, David and Lucile Packard Professor of Human Biology and Director, Symbolic Systems Program, Stanford University Surya Ganguli, Assistant 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
6:00 - 7:00	Reception