I agree - humans are able to collate generally disparate, individually insignificant events to identify issues and unexpected events, but the entire idea behind

I agree - humans are able to collate generally disparate, individually insignificant events to identify issues and unexpected events, but the entire idea behind ML is that AI is trained to react appropriately to the specific range of possibilities it is provided with. While ML allows for significantly better generalization within the trained problem set, it still flounders anywhere beyond predicted/tested parameters. Hopefully, developing gaming AIs such as AlphaGo and AlphaStar will help us with this, but for now I remain dubious - AlphaStar, at least, has trouble reacting at all to the unexpected.