
#223: Explainability in AI with Dr. Janet Bastiman
The Analytics Power Hour
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The Importance of Different Levels of Explainability in AI
I think this has been one of the problems when historically explainability in AI has been discussed. It started off as being almost at all just for the data scientists to check their own homework and make sure they're doing things correctly. So it's really important that not only do you have those explanations, but they're at the right level for the person that they're targeted to. And there's an awful lot of testing and feedback that's involved to get that level right. Whereas if somebody's trained to be able to analyze data correctly, then they can accept more information.
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