> It is impossible for an algorithm to "illegally" discriminate An algorithm is a set of steps given to it by a human. If the human can discriminate then so ca

> It is impossible for an algorithm to "illegally" discriminate An algorithm is a set of steps given to it by a human. If the human can discriminate then so can the algorithm. In the case of ML, let's say you are making lending decisions and your data set consists entirely of the race of the applicants. Obviously that ML algorithm would illegally discriminate. Now, extrapolate from that extreme case and say that you feed your ML algorithm a whole bunch of random data points about your potential borrowers. How do you prove that your ML algorithm is not making its decision based on data points that are proxies for race? If you don't have an answer to that question good luck with the swarm of lawyers who will be suing you into oblivion.