Two recent podcast episodes delve into the critical area of AI explainability, particularly in the context of generative AI applications. The first episode features Beth Rudden discussing an ontological approach to creating conversational AI, addressing risks and accountability in thin UI wrappers around large models. The second episode highlights Sheldon Fernandez's work on generative synthesis, which aims to produce compact and explainable neural networks, drawing parallels to AutoML and meta-learning. AI
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RANK_REASON Podcast episodes discussing AI explainability and generative synthesis, featuring expert opinions and research concepts.
