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Learn about the fascinating parallels between child development and artificial intelligence in this UC Berkeley EECS colloquium talk exploring how 4-year-olds' learning processes could inform AI development. Discover key insights into the differences between transmission and truth-seeking behaviors, as well as the balance between imitation and innovation in learning systems. Delve into developmental psychology research that examines how young children acquire knowledge and skills, and understand its potential applications in advancing AI technologies. Gain valuable perspectives on cognitive development and machine learning through this 76-minute lecture delivered at the HP Auditorium of Soda Hall.
Syllabus
Alison Gopnik - Transmission vs.Truth, Imitation vs. Innovation: What 4-year-olds can teach AI.
Taught by
UC Berkeley EECS