Earlier quoted context omitted.
Don't be surprised if those predictions are heavily biased against minorities and poor people. Do you care if they do? It's a similar problem to using ML to give people credit scores. If the training data includes a lot of minorities and poor people breaking laws / delinquent payments, then your ML will simply key on race/economic status as a predictor. So you've built a system that simply targets those groups. But y…
All I want to predict is time periods/locations which are vulnerable. Nothing more than that.
Lady Justice doesn't wear a blindfold as a fashion accessory. Discarding information is a key factor in nearly every established system of justice / morality. Refusing to do so (i.e. "just" running a ML algorithm) places you directly at odds with society's hard-earned best practices.