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Listen "Episode 021: Explainable AI and LLMs"
Episode Synopsis
"Explainable AI", aka XAI, refers to a suite of techniques to help AI system developers and AI system users understand why inputs to the system resulted in the observed outputs. Industries such as healthcare, education, and finance require that any system using mathematical models or algorithms to influence the lives of others is transparent and explainable. In this episode, Jake and David review what XAI is, classical techniques in XAI, and the burgeoning area of XAI techniques specific to LLM-driven systems.
More episodes of the podcast The Behavioral Data Science Podcast
Episode 024: Are we in an AI bubble?
06/09/2025
Episode 023: Your Brain on LLMs
31/08/2025
Episode 019: LLM Evaluation Frameworks
06/07/2025
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