Serious answer: from the perspective of a deep learning researcher (me), the right answer would be to surface some metric of probability, and have the officer c

Serious answer: from the perspective of a deep learning researcher (me), the right answer would be to surface some metric of probability, and have the officer confirm, upon completing secondary validation, whether the prediction was right or wrong. With a few thousand officers doing this over the course of a year (collecting potentially a million training samples or more), the accuracy figures will go up tremendously, and the probability estimates will become far more accurate. That's assuming that the body cam manufacturer has a capable deep learning research team, though, which might not be the case.