2min chapter

The Gradient: Perspectives on AI cover image

Been Kim: Interpretable Machine Learning

The Gradient: Perspectives on AI

CHAPTER

The Issues That I've Seen at the Time

There's a huge study in psychology about humans, just nature of doing this. It doesn't check anything about whether it's code faithful to the model. Is it really actually what model is doing or is it what model pretends to do? Like there should be a better evaluation of different categories and that requires setting on objective functions. What are we trying to do with these methods we're inventing?

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