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

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Abstract

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.

About the authors

Eugeny Yu. Shchetinin

Financial University under the Government of the Russian Federation

Email: riviera-molto@mail.ru
ORCID iD: 0000-0003-3651-7629
Scopus Author ID: 16408533100
ResearcherId: O-8287-2017

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

49 Leningradsky Prospect, Moscow, 125993, Russian Federation

Leonid A. Sevastianov

RUDN University; Joint Institute for Nuclear Research

Email: sevastianov-la@rudn.ru
ORCID iD: 0000-0002-1856-4643

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

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation; 6 Joliot-Curie St, Dubna, 141980, Russian Federation

Anastasia V. Demidova

RUDN University

Email: demidova-av@rudn.ru
ORCID iD: 0000-0003-1000-9650

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

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

Tatyana R. Velieva

RUDN University

Author for correspondence.
Email: velieva-tr@rudn.ru
ORCID iD: 0000-0003-4466-8531

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

6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation

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