Police and governments have used statistics to predict criminal activity—no doubt they’ve also used some ML. However, the examples I can think of have all come under fire for being discriminatory. How would a predictive crime model enable governments to reduce crime without creating the perception of* bias?
Alternately, how can a predictive crime model reduce bias?
*I assume there genuinely is no bias in the data nor in the enacting of police policy.