I have also heard that about looking under the hood, when I said no biases, I meant more like a poker AI not going all in cause it thinks 6 is its lucky number kinda thing haha.

We can take guesses on what causes the biases in the examples you mentioned, like black faces maybe having less contrast in photos making it more difficult to identify features or even as simple as the training data not being diverse enough, but like you said, very hard to say for sure until we can see the exact process the AI took.

Personally I find AI a very interesting and impressive