[rm445]

Is it appropriate to ask an on-topic but naive question?

It seems as a layman that safer and more legible AI would come from putting neural networks inside of a more 'old-fashioned AI' framework - layers of control loops, decision trees etc based on the output of the black box AI. So at least if your robot crashes or whatever, the computer vision output is in some legible intermediate form and the motion is tractable to traditional analysis.

This can't be an original thought, it must already be done to a large extent. But I get the impression that the way things are going is to get the trained model to 'drive' the output, for whatever the application is. Can someone with current industry knowledge comment?