Ep 26: The Quest for Explainable AI: Understanding Interpretability and Causality episode artwork

EPISODE · Dec 18, 2024 · 26 MIN

Ep 26: The Quest for Explainable AI: Understanding Interpretability and Causality

from The Fourth Industrial Revolution and 100 Years of AI (1950-2050) · host Scry AI

Exploring "The Fourth Industrial Revolution and 100 Years of AI" by Dr. Alok Aggarwal, we dive into the critical world of Explainable AI (XAI), uncovering the complex challenge of making artificial intelligence transparent and understandable. From the limitations of "black box" models to innovative approaches in interpreting AI decisions, we examine why understanding how AI thinks is as crucial as the decisions it makes. We'll explore the delicate balance between model accuracy and explainability, investigate methods for creating more transparent AI, and confront the fundamental challenge of teaching machines to explain their reasoning. Can we create AI that not only makes decisions but can also articulate why?

Exploring "The Fourth Industrial Revolution and 100 Years of AI" by Dr. Alok Aggarwal, we dive into the critical world of Explainable AI (XAI), uncovering the complex challenge of making artificial intelligence transparent and understandable. From the limitations of "black box" models to innovative approaches in interpreting AI decisions, we examine why understanding how AI thinks is as crucial as the decisions it makes. We'll explore the delicate balance between model accuracy and explainability, investigate methods for creating more transparent AI, and confront the fundamental challenge of teaching machines to explain their reasoning. Can we create AI that not only makes decisions but can also articulate why?

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Ep 26: The Quest for Explainable AI: Understanding Interpretability and Causality

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This episode was published on December 18, 2024.

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Exploring "The Fourth Industrial Revolution and 100 Years of AI" by Dr. Alok Aggarwal, we dive into the critical world of Explainable AI (XAI), uncovering the complex challenge of making artificial intelligence transparent and understandable. From...

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