The only issue is that humans don't seem to do well at jobs in which another agent is at least plausibly reliable. The Tesla autopilot is an example of that, we tend to disconnect pretty quickly.
Another thing I find interesting is that Google was able to train a neural network on retinas and can reliably distinguish sex based on retinal image alone...something opthamologists basically can't do. So not only are these systems approaching human capability in tasks we can do, they can do things we can't. As medical data becomes more freely flowing (presumably) over the next couple of decades, i think we'll find that 'AI' can become even more reliable.
I think machine's advantage can be summarized as "good at aggregating weak signals". Humans excel at analyzing complex signals, but basically can't use signals weaker than some point. Machines have no trouble with weak signals.
Another thing I find interesting is that Google was able to train a neural network on retinas and can reliably distinguish sex based on retinal image alone...something opthamologists basically can't do. So not only are these systems approaching human capability in tasks we can do, they can do things we can't. As medical data becomes more freely flowing (presumably) over the next couple of decades, i think we'll find that 'AI' can become even more reliable.