While human learning might be similar, is it similar enough? Humans seem to require very few data points to learn something. Just a few examples are enough for a human to grasp a pattern. As far as I know, we haven't been able to do the same in ML.
I’m not so sure about that. Adult humans can learn new things with a remarkably small number of additional data points, but they’re drawing on a lifetime of human experience which is also data. Children tend to need more help.
Right. We have priors about how the world works, and that usually helps.