Human Intelligence and the Future of AI

Josh Tenenbaum, MIT

Josh Tenenbaum discusses how exploring the minds of children could advance AI.

Josh Tenenbaum, Professor of Computational Cognitive Science, MIT

Josh Tenenbaum is a professor of computational cognitive science in the Department of Brain and Cognitive Sciences at MIT, a principal investigator at MIT’s Computer Science and Artificial Intelligence Laboratory, and a thrust leader in the Center for Brains, Minds, and Machines. His research centers on perception, learning, and common-sense reasoning in humans and machines, with the twin goals of better understanding human intelligence in computational terms and building more human-like intelligence in machines. Algorithms developed by his group are currently used around the world.

Tenenbaum received his PhD from MIT in 1999 and was an assistant professor at Stanford University from 1999 to 2002. He has given invited keynote talks at all the major machine-learning and artificial conferences, where his papers have received awards, and has held distinguished lectureships at Stanford University, the University of Amsterdam, McGill University, the University of Pennsylvania, the University of California, San Diego, and the University of Arizona. He is the recipient of the Early Investigator Award from the Society of Experimental Psychologists, the Distinguished Scientific Award for Early Career Contribution to Psychology from the American Psychological Association, and the Troland Research Award from the National Academy of Sciences and is a fellow of the Society of Experimental Psychologists and the Cognitive Science Society.

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