See also Policing, Predictive policing.
[To read] Zeng, J., Ustun, B., & Rudin, C. (2017). Interpretable classification models for recidivism prediction. Journal of the Royal Statistical Society: Series A (Statistics in Society), 180(3), 689–722. doi:10.1111/rssa.12227
Uses a new method, “supersparse linear integer models”, to produce scoring rules that classify recidivism as accurately as the fanciest uninterpretable machine learning methods, while still giving interpretable results.