ABSTRACT

Pakistan, being a developing country, faces significant challenges in law enforcement with a high crime rate and inefficiency in police operations. These issues highlight pressing policy concerns that necessitate urgent actions for the safety of citizens. In this context, the adoption of AI driven policing  emerges  as a promising solution for effective crime prediction, data driven decision making and optimized resource allocation. This study examines the existing crime prevention practices within the police force, focusing on the application of AI technologies. It explores the prospects of AI predictive policing in Pakistan to reduce crime rates and enhance operational efficiency. Simultaneously, it critically evaluates the risks associated with ethical dilemmas, transparency, data privacy, and misuse in a regulatory environment marked by weak oversight and governance. The study uses the Islamabad Capital Territory Police as its focus area and employs a qualitative research approach. It includes primary data from in depth interviews with law enforcement officials, and key stakeholders while secondary data from literature, international reports and policy guidelines. By demonstrating the benefits of proactive crime reduction through AI, this study emphasizes the importance of collaboration among law enforcement agencies, policymakers, researchers, and technology experts. This research also contributes to both national policy development and global discussions on AI adoption in law enforcement practices, particularly in developing nation’s context.