I'm not sure whether or not the stereotype is true. The point is you are forced to acknowledge a pretty unpopular belief to defend this idea. And that the kind

I'm not sure whether or not the stereotype is true. The point is you are forced to acknowledge a pretty unpopular belief to defend this idea. And that the kind of people super concerned about disparate impact are usually not the kind of people that believe that. And I think that if you do acknowledge there are differences, the argument that it's unfair and wrong is much less strong. In any case the link you posted earlier suggested it could be explained by different rates of numeracy and literacy. Which sound like obvious proxies for IQ. If you gave people an IQ test, or at least literacy or numeracy test, this would probably eliminate any racist bias. > I said doing so with the same accuracy as models which are "racist" is worth billions. You necessarily lose some accuracy if you really think race is predictive. But you need not lose all of it. The current methods for removing bias just fuzz features that correlate with race. But there is a way to make sure a model doesn't learn to use features just as a proxy for race, but instead to predict how much they matter independent of race.