Recent technological advancements have profoundly transformed various fields, including police science. Among these developments, artificial intelligence (AI) has become a key driver in enhancing crime prevention, behavioral analysis, surveillance, and crisis management. Its effective application, however, requires more than mere access to technology; it depends on coherent policymaking, the development of adequate infrastructure, and the training of specialized human resources. This study explores how AI is reshaping the field of police science and identifies key strategies for its effective and sustainable implementation. Drawing on qualitative, library-based, and documentary methods, the research reviews the core concepts of AI and police science and investigates the potential benefits and limitations of AI adoption in policing. The findings suggest that AI offers substantial advantages in predictive policing, big data analytics, transparency, efficient resource allocation, and the reduction of human error. At the same time, significant challenges such as privacy concerns, algorithmic bias, high implementation costs, legal complexities, and cybersecurity risks must be addressed. The study concludes that maximizing the benefits of AI in policing demands not only technical and legal readiness but also strategic foresight. A deliberate focus on building domestic capacities and reducing dependence on foreign technologies is essential to ensure both ethical standards and technological sovereignty in future law enforcement practices.