>If the problem at hand is better solved using a black box (in terms of accuracy, precision, robustness, etc)

It's been a while since I read her work, but IIRC one of the positions she argues for, which I find plausible, is that interpretable models can be performance competitive. For example, it could be that the only reason black box methods outperform is because they've been more heavily researched, and if we were to put more research into interpretable methods, we could achieve parity. I also mentioned a few reasons why we might expect interpretable models to perform better a priori in this comment https://news.ycombinator.com/item?id=28838321