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Re:Interpretability in Machine Learning: An Overview by entee on Monday November 30, 2020 @01:24AM (#25251210)
I’m pretty sure that despite the fact that statistical models are used in credit scores, those models are subject to regulatory review. For example, I’m pretty sure a “black, therefore, no loan” algorithm is illegal, regardless of whether that parameter was learned or programmed. It’s a huge problem in some of these models that latent racism can bubble up into a putatively unbiased algorithm. In some industries, including finance, I think that can expose to some regulatory risk, hence explainability being quite helpful.

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