Sarcouncil Journal of Multidisciplinary

Abstract: Artificial intelligence in the work of the public safety forces will be one of the most revolutionary models of contemporary policing. It will completely change the way in which the enforcement agencies deal with the question of crime deterrence and community policing. The issue of policing is becoming high-tech with the applications of advanced AI technology such as predictive analytics, automatic surveillance, and decision-support tools that empower the functioning ability of the police with its complexities of implementation, control, and community acceptance. The working partnership between the human expert and the AI system in the world of public safety proves that the effective implementation presupposes a fine balance between the optimizations of algorithms and human control, bearing the key aspects of community-oriented policing in mind and utilizing the benefits of computation in terms of recognizing patterns and approaching resource distribution. Moral aspects of implementing AI include algorithmic inclusion, privacy issues, and accountability principles, as well as the necessity to develop the overall structure whereby the discriminatory patterns will be suppressed and, at the same time, not impact the process performance. Community impact assessment demonstrates that effectiveness in technology cannot be assessed by just the crime rate. Still, it involves other wider measures of social impact, such as community trust, procedural justice appreciation, and sustainability of the interactions between the community and the police in the long term. This evidence points to the fact that human-artificial intelligence collaboration models that focus on supporting and expanding human abilities, as opposed to automation substitution, are more successful at ensuring community trust and enhancing the outcomes of the operation.