S1E01. From Data to Discovery: How We Learned to Ask Why

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Decoding Causality

Amir Rafe

10 episodes

1 week ago

Welcome to Decoding Causality, where conversations unravel the mysteries of cause and effect. Inspired by the ideas explored in The Book of Why, this podcast delves into the fascinating world of causal reasoning, counterfactuals, and the science of asking ‘why.’ Each episode breaks down complex concepts into accessible and thought-provoking insights. Perfect for researchers, students, and curious minds, this podcast offers a fresh take on decision-making and discovery.

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S1E01. From Data to Discovery: How We Learned to Ask Why

Decoding Causality

15 minutes 2 seconds

8 months ago

S1E01. From Data to Discovery: How We Learned to Ask Why

Season 1: The Book of Why

What separates humans from other species, and from today’s AI systems, is not just the ability to observe patterns but the power to ask why.

In this episode, we explore the profound shift that enabled humanity to move beyond mere data collection to uncovering the hidden web of cause and effect. From the Garden of Eden to the Cognitive Revolution, we trace the origins of causal reasoning and how it transformed our ability to understand and shape the world. Why do explanations matter more than raw facts? And what does this mean for the future of artificial intelligence? Join us as we take the first step up the Ladder of Causation.

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📧 Email: amir.rafe@usu.edu
🌐 Website: https://pozapas.github.io/
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