Artificial Intelligence models and algorithmic law enforcement: A technical overview

Gouni, Mallikarjun Reddy (2025) Artificial Intelligence models and algorithmic law enforcement: A technical overview. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 983-989. ISSN 2582-8266

Artificial intelligence represents a transformative technological framework for behavior detection within modern law enforcement operations. This article examines the integration of advanced algorithmic systems in criminal investigations, focusing on pattern detection methodologies, recidivism prediction technologies, digital evidence analysis capabilities, natural language processing applications, and classification frameworks. The implementation of these technologies enables law enforcement agencies to process extensive datasets with unprecedented efficiency, identifying behavioral patterns indicative of criminal activity while enhancing investigative capabilities. From anomaly detection systems that identify statistical outliers to sophisticated natural language processing applications that extract semantic insights from communications, these AI-driven approaches are fundamentally altering traditional investigative paradigms. The article contextualizes these technological developments within operational law enforcement environments, highlighting their contributions to enhanced detection capabilities while acknowledging the ethical considerations inherent in algorithmic decision-making within criminal justice contexts.