909: Causal AI, with Dr. Robert Usazuwa Ness
Super Data Science: ML & AI Podcast with Jon Krohn
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Understanding Causality Through AI
This chapter explores the relationship between artificial intelligence and causal reasoning, emphasizing how AI systems can learn to understand meaningful causal relationships. It contrasts human intuitive reasoning with correlation-based learning in current AI models, highlighting the importance of causal frameworks. The discussion also examines cognitive science insights, demonstrating how human and animal intuitions about causality can enhance AI methodologies.
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