You can't prove a negative and should be careful about promising what may turn out to be false. There is potentially quite a bit of money to be made by people with the auto version of slipping on a pickle jar. When there is money to be made, talented but otherwise misguided people apply their efforts.
Imagine someone carrying a couple of two by fours they are holding vertically. They then stop on the sidewalk to check their phone at just the right angle. I am not really giving specific examples, as much as trying to illustrate that the way ML systems fail isn't by being slightly off from the intended programming, but by being really off.