Discrete and Continuous Models and Applied Computational ScienceDiscrete and Continuous Models and Applied Computational ScienceDiscrete and Continuous Models and Applied Computational Science2658-46702658-7149Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)4473510.22363/2658-4670-2025-33-1-103-111AFJUOELettersПисьмаResearch ArticleOn the methods of minimizing the risks of implementing artificial intelligence in the financial business of a companyО методах минимизации рисков внедрения искусственного интеллекта в финансовый бизнес компанииhttps://orcid.org/0000-0003-3651-762916408533100O-8287-2017ShchetininEugeny Yu.ЩетининЕ. Ю.

Doctor of Physical and Mathematical Sciences, Lecturer of Department of Mathematics

riviera-molto@mail.ruhttps://orcid.org/0000-0002-1856-4643SevastianovLeonid A.СевастьяновЛ. А.

Professor, Doctor of Sciences in Physics and Mathematics, Professor at the Department of Computational Mathematics and Artificial Intelligence of RUDN University, Leading Researcher of Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research

sevastianov-la@rudn.ruhttps://orcid.org/0000-0003-1000-9650DemidovaAnastasia V.ДемидоваА. В.

Candidate of Physical and Mathematical Sciences, Associate Professor of Department of Probability Theory and Cyber Security

demidova-av@rudn.ruhttps://orcid.org/0000-0003-4466-8531VelievaTatyana R.ВелиеваТ. Р.

Candidate of Physical and Mathematical Sciences, Assistant Professor of Department of Probability Theory and Cyber Security

velieva-tr@rudn.ruFinancial University under the Government of the Russian FederationФинансовый университет при Правительстве Российской ФедерацииRUDN UniversityРоссийский университет дружбы народовJoint Institute for Nuclear ResearchОбъединённый институт ядерных исследований15062025331VOL 33, NO1 (2025)ТОМ 33, №1 (2025)10311127062025Copyright ©; 2025, Shchetinin E.Y., Sevastianov L.A., Demidova A.V., Velieva T.R.Copyright ©; 2025, Щетинин Е.Ю., Севастьянов Л.А., Демидова А.В., Велиева Т.Р.2025Shchetinin E.Y., Sevastianov L.A., Demidova A.V., Velieva T.R.Щетинин Е.Ю., Севастьянов Л.А., Демидова А.В., Велиева Т.Р.https://creativecommons.org/licenses/by-nc/4.0https://journals.rudn.ru/miph/article/view/44735

Effective application of artificial intelligence (AI) models in various fields in the field of financial risks can increase the speed of data processing, deepen the degree of their analysis and reduce labor costs, thereby effectively improving the efficiency of financial risk control. The application of AI in the field of financial risk management puts forward new requirements for the system configuration and operation mode of financial supervision. With the rapid growth of computer and network technologies, the increase in the frequency of market transactions, the diversification of data sources, and the development and application of big data, this creates new problems for financial risk management based on big data. This paper analyzes the role of artificial intelligence in promoting the reform and growth of the financial industry, and proposes countermeasures for the rational use of AI in the field of financial risk management.

Эффективное применение моделей искусственного интеллекта (ИИ) в различных областях в сфере финансовых рисков позволяет повысить скорость обработки данных, углубить степень их анализа и снизить трудозатраты, тем самым эффективно повышая эффективность контроля финансовых рисков. Применение ИИ в сфере управления финансовыми рисками выдвигает новые требования к конфигурации системы и режиму работы финансового надзора. В условиях быстрого роста компьютерных и сетевых технологий, увеличения частоты рыночных операций, диверсификации источников данных, а также развития и применения больших данных это создает новые проблемы для управления финансовыми рисками на основе больших данных. В данной статье анализируется роль искусственного интеллекта в содействии реформированию и росту финансовой отрасли, а также предлагаются контрмеры по рациональному использованию ИИ в сфере управления финансовыми рисками.

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