It's not the words, it's the idea that Senegal is representative of darker people and could produce the correct results. It's an indication that he still doesn't understand.

Isn’t “Africa” just as bad, if not worse? Not all black people are Africans or have African heritage. Far from it, in fact.

Also: darker? Darker than what? Are you taking “white” as your baseline?

I mean, if you’re going to throw stones about how “you don’t understand”, you could try having a rational point.

Using Senegal would make people look Senegalese, not "African."

> Not all black people are Africans or have African heritage. Far from it, in fact.

Exactly. That's the "rational" point: the mistake was training the data on anything but the target population. Nobody is contenting that it could have been trained on something else: it wasn't and that fact is the problem.

> Also: darker? Darker than what? Are you taking “white” as your baseline

Darker than the white people the algorithm turns most inputs into. Have you seen the results?