This article is a comprehensive study of the possibilities and problems of using artificial intelligence (AI) in the field of criminal prosecution and forensic science. The article touches upon these important aspects of AI in various legal fields, including its role in forensic science, criminal law, criminal procedure and criminology. The pros and cons of using AI in the world, as well as in specific issues related to privacy and access to this information are considered. The author uses the AI method as a tool for analyzing big data and evaluating the effectiveness of tracking, noting that its use can lead to the automation of routine tasks, increasing accuracy and reducing errors. However, conservative researchers draw attention to possible risks, including II errors, human rights violations and ethical issues associated with machine decision-making. Particular attention is paid to the problems associated with access to limited information, such as criminal investigation data, and the impact of this on the development and application of AI in legal and regional systems. It also addresses the challenges associated with the current use of II technologies by private companies and national associations, including privacy, national security, and law enforcement issues. The article provides data on the dynamics of AI research in the legal field, as well as analyses published in the field of forensic science, criminal law, and criminology. The study shows the growing interest of specialists in the capabilities of AI, as well as the need to take into account both the positive and serious aspects of its development in real practice. Thus, the article takes a balanced approach to the implementation of AI in legal practice, taking into account its potential for improving efficiency, as well as the risks and challenges associated with it.
E.I. Zinkevich (Thu,) studied this question.