ML is basically greedy determinism. If we can’t get the correct answer, we try to get one that is most likely wrong, but give us enough information that we can make a decision. So the answer is not useful, but its nature is.

If we take object detection in computer vision, the detection by itself is not accurate, but it helps with resources management. instead of expensive continuous monitoring, we now have something cheaper which moves the expensive part to be discrete.

But something deterministic would be always more preferable because you only needs to do verification once.