From Intuition to Algorithm: The Evolution of Criminal Profiling in the Age of Artificial Intelligence

The practice of criminal profiling has undergone a profound transformation over the past five decades, evolving from an intuition-based art practiced by experienced investigators to an increasingly algorithmdriven science powered by artificial intelligence. This article traces the historical development of criminal profiling from its origins in behavioral science and forensic psychology through to contemporary applications of machine learning, natural language processing, and predictive analytics in investigative criminology. Drawing on recent scholarship from 2024, this study examines both the promising capabilities and the significant ethical challenges posed by AI-driven profiling systems, including concerns regarding algorithmic bias, due process, transparency, and civil liberties. The analysis reveals that while AI technologies offer unprecedented pattern-recognition capabilities and the potential to process vast datasets beyond human cognitive capacity, their integration into criminal justice systems requires robust governance frameworks, continuous validation, and meaningful human oversight. The article concludes by arguing that the future of criminal profiling lies not in replacing human judgment with algorithmic decision-making, but in developing hybrid models that leverage computational power while preserving the contextual reasoning and ethical accountability that only human investigators can provide.