In any case, you shouldn't neglect the subtle but important sources of bias those pre-crime models can have. Here's an interesting talk about it: https://www.youtube.com/watch?v=MfThopD7L1Y Basically, one instance of bias is the fact that many crime-prediction models are trained on police data, which means they will predict crime in places more often targeted by the police anyway. Then the model predictions even ampl…
We must ensure police are continuously allocated to crime-ridden areas, with or without AI, fair or not. If you are hinting at sending fewer police to black neighborhoods, you can bet that will never happen.
It's a common known fact that crime-ridden, mostly minority neighborhoods have a complete dearth of services such as police, firefighters, and ambulance. Even back in the 80s, Public Enemy released a song called "911 is a Joke" because if you called 911 from a black neighborhood, they won't respond.
It's routinely known that cops will rather stay in rich neighborhoods and let the poorer neighborhoods fester. This happened during the LA riots where Koreantown burned because most of the cops went to Beverly Hill, etc, to protect the rich people.
I saw this first hand in Detroit about 8 years ago. I was driving through a bad neighborhood in Detroit with my friend, and we entered the neighborhood of Grosse Point, a rich area. Cops followed us until we left, which is their way of saying "you don't belong here". Meanwhile, among the burnt down houses and broken windows of Detroit proper, you couldn't see a single cop.