Turing Award winner Judea Pearl argues that causal reasoning, not deep learning's curve-fitting, is the missing path to true machine intelligence.

Judea Pearl — UCLA professor and Turing Award winner who pioneered Bayesian networks and the mathematics of causality. A seminal figure in AI, computer science, and statistics, and author of The Book of Why.
Judea Pearl explains why current machine learning, which he frames as sophisticated conditional probability estimation, will hit a wall without causal reasoning. He walks through the ladder from correlation to intervention (the do-calculus) to counterfactuals, arguing that counterfactual reasoning underlies explanation, responsibility, regret, and free will. He discusses how humans use metaphor to map the unfamiliar to the familiar, what it would take to build ethical and conscious machines, and his concerns about AI as a new species. The conversation closes with deeply personal reflections on his upbringing in Israel, the murder of his son Daniel Pearl, and the normalization of evil.
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Judea Pearl
“I recommend his most recent book called "Book of Why" that presents key ideas from a lifetime of work in a way that is accessible to the general public.” — Lex Fridman 00:00:32Find it on Amazon
Judea Pearl
“I wrote "The Book of Why" in order to democratize common sense.” — Judea Pearl 01:20:18Find it on Amazon