Morhat P.M. —
Ñomparative legal study of artificial intelligence positioning in judicial proceedings.
// Legal Studies. – 2024. – ¹ 7.
– P. 13 - 28.
DOI: 10.25136/2409-7136.2024.7.71263
URL: https://en.e-notabene.ru/lr/article_71263.html
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Abstract: The author studies the experience of using artificial intelligence in the framework of legal proceedings in the USA, China and Russia. This analysis includes not only an analysis of judicial practice, but also a study of strategic documents assigned at the government level of these countries. Goal of the research is to identify effective starting points for the implementation of AI in the judiciary, to determine the features of regulation of AI in the judicial process and specify prospects for determining the full autonomy of AI for judicial proceedings. The objectives of the study are to determine the main trends in the implementation of AI in the field of judicial process, highlight areas that can currently be algorithmically processed by AI, as well as determine future designs of the legal personality of AI, taking into account the opinion of the professional judicial community of Russia. The research methodology includes systemic, structural-functional, hermeneutic and comparative legal methods. The authors makes general conclusions about the prospects of AI for the judicial process and formulates optimal tracks for the use of AI in judicial cases, taking into account the comparative legal research conducted. Based on the comparative legal research carried out, the author formulated the increasing role of artificial intelligence technology used in the judicial process. The need to improve the legislative framework taking into account the technological specifics of AI and ensure an adequate level of information security when using this technology is noted. In addition, a starting point has been identified for the effective and safe implementation of AI as an autonomous participant in the process in relation to disputes that are considered in a simplified manner or contain a high proportion of data that is reliably verified and stored electronically.