> Available data on blacks specifically is completely irrelevant if blacks and whites aren't fundamentally different. The white model will generalize.
I should have been more clear that I was responding to this part of your comment. That even if blacks and whites aren't fundamentally different (in the sense that your race does not directly cause an outcome of interest) you can produce biases that are essentially a misatrribution about the relationship between race and that outcome. Worse, if there_is_ a relationship you can reverse the direction a model estimates for the relationship (Simpson's paradox).
> Do you consider this situation unjust? If so, you might be unhappy to learn that the entire goal of the field of algorithmic fairness is to do something along these lines.
I don't think the creation of tools to accommodate this specific purpose is bad, per se. Whether or not they are the appropriate tool to use is a different question.
