Role of Artificial Intelligence in Crime Detection and Control: Enhancing Policing Strategies an Effectiveness

Abstract

This study explores the impact of Artificial Intelligence (AI) technologies on modern policing, with a focus on crime detection and operational efficiency. Drawing on data from 159 police officers familiar with AI applications, researchers examined perceptions across five key areas: AI technologies, crime detection and control, policing effectiveness, ethical/legal/social implications, and public trust. Using SPSS for analysis, regression results showed that AI tools significantly enhance crime detection and prevention (β = .48, p < .001), supporting Hypothesis 1. AI also improves operational efficiency (β = .318, p < .01), confirming Hypothesis 2. However, mediation analysis indicated that public trust does not mediate the relationship between ethical concerns and crime detection (p > .95), supporting Hypothesis 3. Moderation tests found no significant influence of either ethical concerns (p = .437) or public trust (p = .398) on the relationship between AI use and crime detection. These findings suggest that while AI technologies independently enhance crime-fighting capabilities and policing strategies, public trust and ethical concerns currently do not significantly alter these relationships. Results highlights the need for transparent governance, ethical oversight, and policy development to support long-term integration. Effective implementation of AI in law enforcement can unlock its full potential while maintaining public accountability and trust.