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#223: Explainability in AI with Dr. Janet Bastiman

The Analytics Power Hour

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The Tradeoff Between Confidence and Accuracy

There's been this known piece of information that if you want accuracy, you can't have explanations. And it's just quoted and everything leads back to this DARPA study when you follow the traces but there's no evidence for it. There's some evidence from a lot of labs that you can add interpretable layers and outputs even in complex neural networks for no loss of accuracy. I'm really glad you did call me on that because that is a really good clarification.

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