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Information technologies in judicial process: opportunities of artificial intelligence in evidence system

Journal: RUDN Journal of Law (Vol.28, No. 1)

Publication Date:

Authors : ; ;

Page : 178-195

Keywords : artificial intelligence; disclosure of evidence; trial; predictive processing (coding); predicting justice; system of evidence; legal proceedings;

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Abstract

The study is devoted to ambiguous issues of using artificial intelligence (AI) in judicial process. The purpose of the study is to present foreign experience of using information technologies in court proceedings based on the example of the most controversial and debated ideas concerning resources of artificial intelligence in the system of evidence. Special attention is paid to successful mechanisms of using AI in foreign judicial practice at the stage of evidence assessment. The study presents several decisions of foreign courts, formed with the help of AI. The findings allow to express opinion about admissibility of evidence evaluated by AI. The study employs methods of general scientific cognition and special methods including comparative legal. The dialectical method allows to investigate genesis and progressive development of judicial process technologization. The methods of analysis and synthesis, induction and deduction contribute to highlighting disadvantages of predictive coding at the proving stage and advantages of electronic research of evidence, options for simultaneous disclosure of evidence using different methods on the example of specific court decisions. The comparative legal method helps to identify best practices of using artificial intelligence in the system of evidence in foreign countries. The study not only describes the tools of predicting justice in European judicial practice, but also examines the problems of Chinese "instrumental justice" that can arise in any country. Conclusion justifies predictive coding as a tool of predictive justice, provided that general rules for information disclosure are developed and specifics of machine learning for a particular case are considered. It is noted that artificial intelligence has not yet become the predominant method in any types of legal proceedings. This may be explained by insufficient confidence in it across legal communities and time needed to form a successful history of its use for solving legally significant tasks in various spheres of human life.

Last modified: 2024-04-02 00:42:21