On the methods of minimizing the risks of implementing artificial intelligence in the financial business of a company

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. © 2025 Shchetinin, E. Y., Sevastianov, L. A., Demidova, A. V., Velieva, T. R.

Авторы
Издательство
Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН)
Номер выпуска
1
Язык
English
Страницы
103-111
Статус
Published
Том
33
Год
2025
Организации
  • 1 Department of Mathematics, Financial University under the Government of the Russian Federation, Moscow, Russian Federation
  • 2 Department of Computational Mathematics and Artificial Intelligence, RUDN University, Moscow, Moscow Oblast, Russian Federation
  • 3 Bogoliubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, Dubna, Moscow Oblast, Russian Federation
  • 4 RUDN University, Moscow, Moscow Oblast, Russian Federation
Ключевые слова
artificial intelligence; big data; financial risks
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