Challenges of contemporary predictive policing
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Big data algorithms developed for predictive policing are increasingly present in the everyday work of law enforcement. There are various applications of such technologies to pre-dict crimes, potential crime scenes, profiles of perpetrators, and more. In this way, police officers are provided with appropriate assistance in their work, increasing their efficiency or entirely replacing them in specific tasks. Although technologically advanced, police use force and arrest, so prediction algorithms can have significantly different, more drastic consequences as com-pared to those that similar technologies would produce in agriculture, industry, or health. For further development of predictive policing, it is necessary to have a clear picture of the problems it can cause. This paper discusses modern predictive policing from the perspective of challenges that negatively affect its application.
Keywords:predictive policing / crime forecasting / ethics / biases / artificial intelligence
Source:Thematic conference proceedings of international significance [Elektronski izvor] / International Scientific Conference "Archibald Reiss Days", Belgrade, 9-10 November 2021, 2021, 513-526
- Belgrade : University of Criminal Investigation and Police Studies