Those explanations are awful. The reasons are usually pretty simple and sound much more reasonable. The answer is not “I don’t know” in any of those cases - it’

Those explanations are awful. The reasons are usually pretty simple and sound much more reasonable. The answer is not “I don’t know” in any of those cases - it’s going to be pretty clear that they share some similarity to other cases of theft, cheating, etc, and this will probably be obvious on examination, “our system flags people who are wearing masks” or “these 30 seconds of sounds are almost exactly the intro to song X”. Human review is also useful, but humans make plenty of errors as well (and the response is often “I don’t know why”!). I’d say these errors are not due to the inscrutable nature of ML but bad communication.