Author here - not an original insight, although it's clichéd enough that I can't point you to where I picked it up from. I also want to emphasize that I do not

Author here - not an original insight, although it's clichéd enough that I can't point you to where I picked it up from. I also want to emphasize that I do not view bias as a bad thing in the context of supervised models. In some ways, I think it's the whole point of a supervised model (to inherit the judgment of its creators). If the bias helps filter predictions that are useful for your goals, it's a good thing.