• Igor Vuković Ministry of Interior
  • Petar Čisar
  • Kristijan Kuk
  • Brankica Popović


predictive policing, crime forecasting, ethics, biases, artificial intelligence


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 predict 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 it needs to be technologically advanced, police use force and arrest, so prediction algorithms can have significantly different, primarily drastic consequences than those that similar technologies would produce in agriculture, industry, or health. For the 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.


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Informatics and Applied Mathematics in Forensic, Cybercrime and Security Science