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Judea Pearl: Causal Reasoning, Counterfactuals, Bayesian Networks, and the Path to AGI

Lex Fridman Podcast

CHAPTER

Navigating Uncertainty: Correlation and Causation

This chapter examines the critical role of statistical reasoning in understanding uncertainty, highlighting the importance of probability for prediction. It explores the intricate relationship between correlation and causation, emphasizing the complexities of inferring causality from observational data. By utilizing historical examples and discussing machine learning's limitations, the chapter underscores the necessity of a robust framework for establishing genuine cause-and-effect relationships in research and artificial intelligence.

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