But I think you're missing the point. Deliberately altering the model to produce equal results despite unequal patterns in reality is not the elimination of bias, it's introducing bias.
Is the goal of the AI model to predict crime rates in a hypothetical world where everyone has equal rates of lead exposure? Or is the goal of the model to predict crime rates in the real world?
Is the goal of the AI model to predict crime rates in a hypothetical world where everyone has equal rates of lead exposure? Or is the goal of the model to predict crime rates in the real world?