More Like this

1. Fairness in Algorithmic Policing

   https://doi.org/10.1017/apa.2021.39  

   Purves, Duncan (March 2022, Journal of the American Philosophical Association)

   Predictive policing, the practice of using of algorithmic systems to forecast crime, is heralded by police departments as the new frontier of crime analysis. At the same time, it is opposed by civil rights groups, academics, and media outlets for being ‘biased’ and therefore discriminatory against communities of color. This paper argues that the prevailing focus on racial bias has overshadowed two normative factors that are essential to a full assessment of the moral permissibility of predictive policing: fairness in the social distribution of the benefits and burdens of policing as well as the distinctive role of consent in determining fair distribution. When these normative factors are given their due attention, several requirements emerge for the fair implementation of predictive policing. Among these requirements are that police departments inform and solicit buy-in from affected communities about strategic decision-making and that departments favor non-enforcement-oriented interventions. 

   more » « less
2. The Indianapolis harmspot policing experiment

   https://doi.org/10.1016/j.jcrimjus.2021.101814  

   Carter, Jeremy G.; Mohler, George; Raje, Rajeev; Chowdhury, Nahida; Pandey, Saurabh (May 2021, Journal of Criminal Justice)

   null (Ed.)
3. Predictive Policing: A Mathematical Primer

   https://doi.org/10.1090/noti2968  

   Johnson, Joseph; McKenzie, Theo; Wong, Tian An (August 2024, Notices of the American Mathematical Society)
4. Proactive policing as reinforcement learning

   Kinsman, Dawson; Wong, Tian_An (May 2023, dblp)
5. Disparate Impact in Big Data Policing

   Selbst, Andrew D. (January 2017, Georgia law review)