I've always seen interpretability and explainability as different sides of the same coin. If you take an information-theoretic approach to it, and think of a D

I've always seen interpretability and explainability as different sides of the same coin. If you take an information-theoretic approach to it, and think of a DL model like any other model, there is a certain equivalence in understanding the model features and how it behaves with reference to the universe of data it is applied to. It was an interesting article but I felt like it created problems that need not be there (or maybe it's just describing problems that others created?)