Great points. It's true that whatever algorithm they end up with will definitely use ML. And it's also true that "interpretability" is one of the great challen

Great points. It's true that whatever algorithm they end up with will definitely use ML. And it's also true that "interpretability" is one of the great challenges for ML in the coming years. But interpretability of a model isn't a binary attribute. Some techniques offer at least some intuition about why they chose their results. But a human editor, on the other hand, is much less transparent -- basically, the best justification they can offer is "trust me, I know what I'm doing".