This paper analyzes the application of artificial intelligence (AI) in psychological profiling of criminals, with a focus on its role in uncovering complex criminal behaviors and motivations. In the context of modern society, where criminal activities continuously evolve, AI is increasingly being utilized in criminology, enabling in-depth analysis of vast amounts of data and the identification of hidden patterns in criminal activities. By integrating theoretical frameworks such as learning theory, general crime theory, and motivational theories, the paper examines how AI tools, including machine learning and natural language processing (NLP), contribute to precise profiling and identification of psychological risk factors. While AI represents significant advancements in the accuracy and efficiency of profiling, its application also raises ethical challenges, including issues related to privacy protection, algorithmic bias, and the need for transparency in decision-making processes. To build trust in AI systems, it is essential to develop clear ethical guidelines and ensure model transparency. Furthermore, the paper highlights the usefulness and effectiveness of AI for judicial bodies, investigators, and therapists, emphasizing the importance of understanding the psychological and emotional components that shape criminal behavior. This approach can contribute to enhancing community safety and reducing criminal activities. The paper also offers recommendations for future research, underscoring the importance of a multidisciplinary approach that can enrich profiling methods and contribute to more effective crime prevention efforts. Understanding the psychological and motivational aspects of criminals, alongside careful management of ethical challenges, can significantly improve judicial systems and the protection of human rights, while simultaneously providing deeper insights into the complexities of the human psyche.
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