The problem is the machines don’t understand the context of their work which can cause problems. All the work of AI is a result of trying to make a machine that can.
I am deeply confused by this statement.
A robot that assembles cars does not need to "understand" anything about what it's doing. It just needs to make the same motions with its welding torch over and over again for eternity. And it does that job pretty well.
Further, neural networks as they stand cannot truly understand anything. All classification networks know how to do is point at stuff and say "That's a car/traffic light/cancer cell", and all generation networks know how to do is parrot. Any halfway decent teacher will tell you that memorizing and understanding are completely different things.