Abstract

For millennia, mankind has dreamed of creating an artificial creature capable of thinking and acting “like human beings”. These dreams are gradually starting to come true. The trends in the development of modern society, taking into account the increasing level of its informatization, require the use of new technologies for information processing and assistance in decision-making. Expanding the boundaries of the use of artificial intelligence requires not only the establishment of ethical restrictions, but also gives rise to the need to promptly resolve legal problems, including criminal and procedural ones. This is primarily due to the emergence and spread of legal expert systems that predict the decision on a particular case, based on a variety of parameters. Based on a comprehensive study, we formulate a definition of artificial intelligence suitable for use in law. It is proposed to understand artificial intelligence as systems capable of interpreting the received data, making optimal decisions on their basis using self-learning (adaptation). The main directions of using artificial intelligence in criminal proceedings are: search and generalization of judicial practice; legal advice; preparation of formalized documents or statistical reports; forecasting court decisions; predictive jurisprudence. Despite the promise of using artificial intelligence, there are a number of problems associated with a low level of reliability in predicting rare events, self-excitation of the system, opacity of the algorithms and architecture used, etc.

About the authors

Igor I. Kartashov

Russian State University of Justice

Author for correspondence.
Email: iik_vrn@mail.ru
ORCID iD: 0000-0003-0772-803X

Candidate of Law, Associate Professor, Associate Professor of Criminal Procedure Law Department

Russian Federation, 69 Novocheryomushkinskaya St., Moscow 117418, Russian Federation

Ivan I. Kartashov

Limited Liability Company “Smart Result”

Email: iv.cartashow@gmail.com
ORCID iD: 0000-0001-9617-5531

Junior Lawyer

Russian Federation, 7 Profsoyuznaya St., Moscow 117393, Russian Federation

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