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 amplify that effect, since more training data may be generated from the places now more often policed, etc.
There's lots of resources out there on AI fairness these days. I think everyone who tries stuff like crime prediction should read up on that topic.
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 amplify that effect, since more training data may be generated from the places now more often policed, etc.
There's lots of resources out there on AI fairness these days. I think everyone who tries stuff like crime prediction should read up on that topic.