The Role of Artificial Intelligence in Crime Detection and Legal Analysis under Afghanistan’s Laws

Abstract

The role of artificial intelligence (AI) in crime detection and its legal significance under the laws in force in Afghanistan have become important issues in contemporary criminal justice and criminology. The rapid development of artificial intelligence has created new opportunities for law enforcement and judicial institutions to prevent, detect, investigate, and analyze criminal activities. AI-based technologies, including facial recognition, biometric identification, automated video analysis, predictive policing, digital evidence analysis, and other intelligent systems, can enhance the speed, accuracy, and effectiveness of criminal investigations. The importance of this subject is further increased by the growing complexity of modern crimes and the limitations of traditional methods of crime detection and investigation. The main objective of this study is to examine the role of artificial intelligence in crime detection and to assess its legal importance and status under the laws in force in Afghanistan. The study also seeks to identify the extent to which existing Afghan legal rules provide a sufficient basis for the use of AI in criminal investigations, evidence collection and assessment, identification of suspects, and judicial proceedings. Furthermore, the study examines the legal and ethical challenges associated with the use of AI, including privacy, protection of personal data, algorithmic bias, accuracy and reliability of AI-generated results, transparency, accountability, and the admissibility of technologically generated evidence. This study employs a library based and descriptive analytical research methodology. It draws upon Afghan legislation, Islamic legal principles, international legal instruments, books, academic articles, and other relevant legal and technological sources concerning artificial intelligence, criminal investigation, and forensic evidence. The findings indicate that artificial intelligence can significantly contribute to crime detection by facilitating the identification of suspects, analysis of digital and forensic evidence, recognition of criminal patterns, and efficient management of investigative information. However, the existing legal framework in Afghanistan does not appear to provide sufficiently detailed and specific regulations governing all aspects of the use of AI in criminal investigations and evidence assessment. This creates legal and practical challenges concerning privacy, human rights, evidentiary reliability, responsibility for algorithmic errors, and the limits of governmental and law-enforcement use of AI. Therefore, the study concludes that the responsible use of artificial intelligence in crime detection requires the development and strengthening of an appropriate legal framework in Afghanistan. Such a framework should establish clear rules concerning the collection and processing of data, the use of AI based surveillance and identification systems, the admissibility and verification of AI-generated evidence, human oversight, transparency, accountability, and the protection of fundamental rights. Establishing such safeguards can enable Afghanistan to benefit from the advantages of artificial intelligence in crime detection while ensuring compliance with the principles of justice, legality, and human rights.