Abstract

With the development of new technologies, especially artificial intelligence (AI), criminal systems around the world have faced unprecedented opportunities and challenges. The use of artificial intelligence in the discovery of crime, such as metropolitan analysis, predicting crime patterns and identifying suspects, can improve the efficiency and accuracy of judicial and police institutions. However, the use of this complex technology creates significant issues in the field of contemporary criminal justice. On the one hand, AI algorithms help reduce human error, increase the speed of crime investigation and accelerate the identification process; But on the other hand, there are fundamental concerns about algorithmic discrimination, privacy violations, transparency of the process of decision -making, and procedure justice. This article first analyzes the role and function of artificial intelligence in the process of discovering the crime and then its legal, ethical and operational dimensions. Special focus is on challenges such as data bias, lack of transparency of the algorithm performance, the legal responsibility of AI -based decisions, and possible effects on the principle of absurdity and respect for the accused. Also, the present study emphasizes that unnecessary or non -critical use of artificial intelligence may lead to the weakening of criminal justice and reduces public confidence in the judicial system. In the end, suggested solutions will be offered to eliminate algorithmic bias, increase technology transparency, enact laws and regulatory agencies, and the importance of specialized training of judicial and police staff. The article emphasizes the need to pay attention to the dimensions of human rights in the development and implementation of new criminal technologies so that contemporary criminal justice can safeguard the fundamental principles of accused and criminal rights while using artificial intelligence capacities.