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On the Issue of Trustworthy Functioning of Artifi cial Intelligence Systems and the Role of Data

https://doi.org/10.17803/2311-5998.2026.142.6.086-094

Abstract

The article is devoted to the study of the problems of trusted functioning of artifi cial intelligence systems. Methods: analysis, system method, idealization, legal modeling, hypothesis building, generalization and system analysis. Results. The active development of artifi cial intelligence is redirecting key technological approaches from digital transformation to AI transformation. In these conditions, taking into account the potential risks of use, the issue of trusted operation of artifi cial intelligence systems becomes relevant, as it is a crucial condition that determines the possibility of using these systems for data processing tasks. The article explores the risks and security issues associated with the operation of AI systems. It analyzes the key structural elements that form the system of trust in AI systems, the methods of ensuring trust, and the characteristics of AI systems. The article also examines the role of data in the operation of AI systems. The article highlights and structures the areas of implementation of trusted AI technologies, and discusses the search for practical solutions to improve the secure and trusted operation of AI systems.

About the Author

A. I. Khimchenko
Kutafi n Moscow State Law University (MSAL), Cand. Sci. (Law)
Russian Federation

Aleksey I. Khimchenko, Associate Professor of the Department of Information Law and Digital Technologies

9, ul. Sadovaya-Kudrinskaya, Moscow, 125993



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Review

For citations:


Khimchenko A.I. On the Issue of Trustworthy Functioning of Artifi cial Intelligence Systems and the Role of Data. Courier of Kutafin Moscow State Law University (MSAL)). 2026;(6):86-94. (In Russ.) https://doi.org/10.17803/2311-5998.2026.142.6.086-094

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ISSN 2311-5998 (Print)
ISSN 2782-6163 (Online)