Artificial Intelligence in the Official Interpret of Law: for or Against?
Year: 2025
Type: article
Abstract: The article considers the possibility of using artificial intelligence in the field of official interpret of legal norms. The necessary prerequisites for this are being investigated. The foreign experience is analyzed. Attention is drawn to the status and specific amounts of use of artificial intelligence in the official interpret of law, including the establishment of appropriate restrictions. All this indicates that the issues of studying the possibilities of using artificial intelligence, both for the entire legal activity and for its interpretative component, are relevant. The main purpose of the study is to try to find the truth about whether artificial intelligence should be used in interpret of legal norms. The key problem identified in the presented work is the fact that there are both positive aspects in the analyzed issue and certain risks that can create difficulties in assimilating the meaning of legal norms. The author not only outlines his vision of the problem, but also predicts the further development of the issue of using artificial intelligence in interpretation by taking into account the risks that arise in this regard. The prohibition on identifying artificial intelligence as an independent subject of the official interpretation of law is particularly emphasized. Based on the results of the study, it is concluded that artificial intelligence should be used in the official interpretation of law and the optimal methodology for this is proposed. This is facilitated by the practical potential of artificial intelligence, as well as the ability to quickly solve semantic tasks, despite the associated risks. Concrete steps are proposed for the introduction of artificial intelligence in the process of official interpretation of law, providing for the minimization of relevant risks
Author: TEREKHOV, EVGENIY
Institution: Saratov State Academy of Law
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6893293326
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