The purpose of these rules is to keep stupid humans from being biased against race. Humans are awful and treat people very differently if they are just ugly or

The purpose of these rules is to keep stupid humans from being biased against race. Humans are awful and treat people very differently if they are just ugly or have different political opinions, etc. An algorithm only cares what is true. It's not biased. It does its best to make the most accurate predictions possible with whatever data it can get. So it's not the same as a jerk that decides he hates black people and won't give them a loan. It's not even remotely the same as a chatbot trained on 4chan trolls. The alternative is not using predictive algorithms at all. Humans count too btw. Humans are the worst. You can't just remove features that correlate with race, since everything correlates with everything. At best you can give it race as a variable, and then control for that, so it gives the average result either way. Rather than trying to infer race from data. But why? If men really are more likely to get in accidents than women, they should pay higher insurance. The whole point of insurance is to predict your risk. Wood houses should pay more for fire insurance than a new brick house, etc.