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

Lex Fridman Podcast

CHAPTER

Navigating Machine Learning and Ethics

This chapter explores the complexities of machine learning, focusing on how machines interpret commands, consequences, and the deeper connections behind actions. It discusses the limitations of current AI systems in understanding causality and emphasizes the importance of communication, empathy, and self-awareness in ethical decision-making. The conversation raises philosophical questions about the implications of AI surpassing human capabilities and the ethical responsibilities that come with creating intelligent systems.

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