[zelphirkalt]

Explicability is a big part of it It is often worth being a percent less accurat but having an explainable result.

[adamsmith143]

I've been on a lot of ML teams and outside of Finance and a few other sensitive topics explainability has always been irrelevant.

[zelphirkalt]

What happens, when your model exhibits a discriminating bias? How do you find out, what is going wrong? Knowing, what the model pays attention to can be pretty helpful.

[adamsmith143]

Not aware of any court cases where someone successfully sued because they were shown one product recommendation or Ad on a webpage instead of another.