Alan Turing‘s question, posed at the dawn of computing, shows that we have a way to go with AI. In this lecture from a series by Berkeley Artificial Intelligence Research lab, Alison Gopnik, professor of psychology and an iOi Champion, discusses new ideas about a child’s mind and how to optimise AI learning.
She asserts that what children do better than anything else is learn. What’s more, they do this with very little data, and an abstract structure, to make informed generalisations about the world. Computers, on the other hand, need lots of data, can’t deal with changing parameters, and can’t transfer their learning.
Find out how AI research is catching up with Turing’s thinking, and the effects of extended childhood learning on adult intelligence.