Using traditional machine learning techniques for this purpose is a non-starter and completely unacceptable. Neural networks are just a black box, and don't pro

Using traditional machine learning techniques for this purpose is a non-starter and completely unacceptable. Neural networks are just a black box, and don't produce an inspectable justification or reasoning. The best you can say is that the model correctly predicts recidivism in X% of cases for some sample. I'm not opposed to using other algorithmic methods, but the algorithm needs to be transparent. Though that would be difficult to do outside of some pretty tightly controlled parameters. We can't currently make a system that can take into account arbitrary facts about the case and weigh ethical implications.