Artificial intelligence in judicial interpretation of law

The relevance of the use of artificial intelligence in judicial interpretation of law is due to the fact that modern information technologies make it possible to improve the quality and accessibility of justice based on the automation of not only routine data processing operations, but also the semantic processing of information. The use of artificial intelligence in the legal interpretation of legal norms necessitates the solution of a number of scientific problems related to both legal and technological aspects of automatic semantic data processing using cognitive systems. The purpose of this study is to determine the limits of automation of the processes of interpretation and semantic processing of information in judicial interpretation of law, as well as theoretical provisions for the creation of explainable artificial intelligence. Objectives: to establish theoretical and legal foundations for the use of explainable artificial intelligence in the field of jurisprudence; study the processes of representation and automated processing of regulatory and legal information in heuristic cognitive systems and neural systems of artificial intelligence; prepare recommendations for improving the regulatory and legal framework for the interpretation of legislation, taking into account the possibilities of using explainable artificial intelligence. Methodology. The methodological basis of the scientific research was the dialectical method of cognition of phenomena and processes of the surrounding reality. In the course of developing the theoretical provisions of the work, a set of general scientific and specific scientific research methods (formal-logical, prognostic, formal-legal, etc.) was used to solve the interdisciplinary scientific problem of determining the theoretical and legal foundations for the use of explainable artificial intelligence in jurisprudence. Results. The obtained results of the scientific research provide the opportunity to improve the regulatory and technological framework that establishes the principles of using explainable artificial intelligence in jurisprudence. Conclusion. The theoretical and legal basis for the application of explainable artificial intelligence in jurisprudence in the interpretation of legislation and semantic processing of information is the scientific and methodological apparatus for verifying the rules of production of heuristic systems of artificial intelligence and verbalization of artificial neural networks.