People don’t make better decisions when given more data, so why do we assume A.I. will?
It's recognized that many machine learning systems today need very large amounts of training data, far more than humans facing the same task.
That's a property of the current brute-force approaches, where you often go from no prior knowledge to some specific classification in one step.
This often works better than previous approaches involving feature extraction as an intermediate step, so it gets used.
This is probably an intermediate phase until someone has the next big idea in AI.
Yep, 20+ year learning based on 10.000+ years of wisdom taught from generation to generation. People take both things for granted when comparing humans with "AIs".
How much of this is just because it says something they do not want to hear or because there are incentives to not consider it?