📄 Abstract
The incorporation of artificial intelligence (AI) into policing, often termed “smart policing,” is revolutionizing crime prevention strategies worldwide. AI helps law enforcement organizations to better manage resources, anticipate possible criminal activity, and uncover crime patterns by employing cutting-edge technology that includes machine learning (ML), predictive analytics, along with real-time data processing. This paper explores the AI’s transformative effect on crime prevention, highlighting its ability to enhance decision-making, improve surveillance, and streamline investigations. While the adoption of AI holds significant promise for reducing crime rates and improving public safety, it also raises critical concerns related to privacy, ethical use, along with algorithmic biases. Addressing these challenges requires robust legal frameworks, ethical guidelines, and collaborative efforts between law enforcement, policymakers, and technology developers. The purpose of this study is to shed light on how AI-driven smart policing can create safer communities while ensuring accountability and fairness in its implementation. The researcher will conduct their work in a doctrinal manner. The main aim of the researcher is to analyze the way AI-driven technologies can be effective in prevention of Crime. Finally, the researcher will offer recommendations and a conclusion.
🏷️ Keywords
📚 How to Cite:
Ms. Kavya Bhatia, Dr. Meenu Verma , SMART POLICING: LEVERAGING AI FOR EFFECTIVE CRIME PREVENTION , Volume 12 , Issue 9, September 2026, EPRA International Journal of Multidisciplinary Research (IJMR) , Pages: 603 - 608 , DOI: https://doi.org/10.36713/epra31609