Judea Pearl
Chancellor's Professor of Computer Science, UCLA
About
Judea Pearl is an Israeli-American computer scientist and philosopher, Chancellor's Professor of Computer Science and Statistics at UCLA, where he directs the Cognitive Systems Laboratory. He received the 2011 ACM Turing Award for fundamental contributions to artificial intelligence through the development of a calculus for probabilistic and causal reasoning. His work on Bayesian networks revolutionized how machines handle uncertainty, and his theory of causal inference has transformed fields from epidemiology to social science. He is the author of "The Book of Why: The New Science of Cause and Effect" (2018), which brought causal reasoning to a broad audience.
Key Contributions
- Developed Bayesian networks, giving AI a practical graphical language for reasoning under uncertainty
- Created do-calculus and structural causal models, formalizing when data can support causal claims rather than mere correlations
- Turned causal inference into shared infrastructure for statistics, epidemiology, social science, and AI rather than a narrow AI subfield
- Received the 2011 Turing Award for foundational work in probabilistic and causal reasoning
- Popularized causal inference through 'Causality' and 'The Book of Why,' including the ladder of causation
- His critique of curve-fitting AI remains sharp, though some ML researchers see causal formalism as harder to scale than Pearl's rhetoric suggests
Videos & Interviews
Judea Pearl: Causal Reasoning, Counterfactuals, and the Path to AGI | Lex Fridman Podcast #56
Wide-ranging conversation on Bayesian networks, counterfactual reasoning, and what machines need to achieve true intelligence
View Details
The New Science of Cause and Effect
Pearl's talk on how causal reasoning transforms our understanding of AI and science
View Details
