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Lecture Preview: What can psychology and brain science do for AI?

Date:March 25, 2025

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Department of Psychology and Cognitive Sciences

What can psychology and brain science do for AI?

TIME: 2025-03-27, 15:00

LOCATION: South District Building No. 10, Ground floor of North Building

SPEAKER: Jia Liu

Speaker Profile:

Bachelor's and Master's degrees from Peking University, PhD from MIT. Recipient of the National Natural Science Foundation of China's Outstanding Young Scientist Award, the Changjiang Scholars Program, and the National Special Support Program for High-Level Talents. Currently serves as Chair of the Department of Psychology and Cognitive Sciences and Distinguished Professor of Basic Sciences at Tsinghua University.

Report Summary:

Psychology and neuroscience continue to provide theoretical and technical inspiration for AI development. Geoffrey Hinton, the father of artificial neural networks (Bachelor's degree in Psychology), designed networks inspired by neural mechanisms. Richard Sutton, the father of reinforcement learning (Bachelor's degree in Psychology), developed algorithms based on behaviorist theory. Current AI technologies such as convolutional neural networks (CNN), Transformers, and Mixed Expert (MOE) are all deeply inspired by brain and cognitive mechanisms. In the future, AI based on precise neural models from neuroscience will enable more efficient reasoning and decision-making capabilities; psychology will play a crucial role in addressing ethical safety, human-machine symbiosis, and social adaptation issues raised by AI. The future is here—let us work together to advance the great progress of human civilization and intelligent technology.

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