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Article

Issue:2025 №4 (92)
Section:Finance, Banking, Insurance and Stock Market
UDK:336.7:004.01/08
DOI:https://doi.org/10.33271/ebdut/92.083
Article language:English
Pages:83-90
Title:Forecast of the use of artificial intelligence in banking and risk management
Author:Bezshtanko D. V., JSC «Kredobank»
Annotation:Methods. This work is based on the application of a number of scientific tools and methods, for example, scenario analysis in identifying examples of employee-artificial intelligence interaction. Induction for building forecasts based on typical stages of introducing new technologies into society; drawing analogies with historical trends in the development of the banking market, for example, automated banking systems of the late 20th – early 21st centuries, the introduction of CRM systems in banking management or the transition to a «digital state» in Ukraine. The above examples have the same stages of implementation from the idea to full acceptance and application by the banking community. Novelty. The author proposes to divide the implementing artificial intelligence into 4 stages and outlines the main features (technological, methodological and legal) of the application of artificial intelligence, as well as its application according to the selected periodization in management. Results. The use of artificial intelligence by banks has already begun. Understanding the stages of using artificial intelligence will allow building a further strategy for the development of banking, considering artificial intelligence, changing the policy of personnel management, processes, risks, and bank security. Thus, the first stage (by 2028) involves the completion of the initial stage of artificial intelligence implementation with the mass use of generative tools, online risk and process monitoring, and the first attempts by regulators to establish requirements for artificial intelligence in banking. The second stage (by 2030) involves strengthening regulation and integrating artificial intelligence into most banking processes, including risk management. The third stage – by 2035 – involves the transfer of a significant part of the functions currently performed by a bank employee to artificial intelligence with the subsequent reorganization of the system of banking products and processes. The fourth stage (by 2075) is a complete reformation of banks with the transfer of a significant list of artificial intelligence functions and increased risks associated with the work of artificial intelligence in the bank. The author also attempted to determine the change in the relationship between the bank employee and artificial intelligence and impose these changes on the proposed stages. The first stage (until 2030) involves the active use of artificial intelligence tools by the bank employee to solve his own tasks, respectively, that is why artificial intelligence is a tool. The second stage (until 2035) artificial intelligence acts as a partner and, accordingly, the employee indicates what exactly should be done and how, and artificial intelligence independently makes decisions on some tasks (typical, technical, etc.), without the participation of the employee. The third stage is a forecast for a period of up to 50 years - artificial intelligence makes decisions itself, and the employee only identifies the need. Practical value. The results of this study will allow, when implementing strategic planning, to consider artificial intelligence and its potential in one's own activities, including within the framework of risk management. 
Keywords:Artificial intelligence, Banking artificial intelligence, Risk management
File of the article:EV20254_083-090.pdf
Literature:
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Editor-in-Chief

Makurin A. A., Doctor of Economic Sciences, Professor, Department of International Relations and Audit, Dnipro University of Technology


Deputy Editors-in-Chief:

Buleev I. P., Doctor of Economic Sciences, Professor, Chief Researcher, Department of Enterprise Economics, Institute of Industrial Economics of the National Academy of Sciences of Ukraine, Ukraine

Vahonova O. H., Doctor of Economic Sciences, Professor, Head of the Department of Applied Economics, Entrepreneurship and Public Administration, Dnipro University of Technology


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Bezuhla L. S., Doctor of Economic Sciences, Professor, Head of the Department of Tourism and Enterprise Economics, Dnipro University of Technology


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    https://orcid.org/0000-0001-8093-736X
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  • Olena Olehivna Akhmedova, Doctor of Sciences in Public Administration, Associate Professor, Professor at the Department of Tourism and Hotel and Restaurant Business, Kyiv National University of Technologies and Design, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
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  • Eleonora Yuriivna Tereshchenko, Candidate of Economic Sciences, Associate Professor, Associate Professor at the Department of Enterprise Economics and Finance, Kyiv National University of Trade and Economics, Ministry of Education and Science of Ukraine, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
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  • Ivan Petrovych Buleev, Doctor of Economic Sciences, Professor, Chief Researcher, Department of Enterprise Economics, Institute of Industrial Economics of the National Academy of Sciences of Ukraine, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
    https://orcid.org/0000-0002-7912-3649
  • Olha Volodymyrivna Zakharova, Candidate of Economic Sciences, Associate Professor at the Department of International Economic Relations, Vasyl Stefanyk Carpathian National University, Ukraine, This email address is being protected from spambots. You need JavaScript enabled to view it.
    https://orcid.org/0000-0002-8718-0205
  • Joanna Rosak-Szyrocka, PhD, Assistant Professor at Częstochowa University of Technology, Poland
    https://wis.pcz.pl/wykladowcy---sprawozdawczosc/dr-joanna-rosak-szyrocka
    https://orcid.org/0000-0002-5548-6787
  • Jolanta Miko Nalivaike, Doctor of Social Sciences, specializing in Management, Vice-Dean of the Faculty of Business Management, Associate Professor at the Department of Management, Vilnius Gediminas Technical University (VILNIUS TECH), Lithuania, This email address is being protected from spambots. You need JavaScript enabled to view it.
    https://orcid.org/0000-0003-1009-4111
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    https://orcid.org/0000-0002-6952-6030
  • Jan Skonieczny, PhD in Economics, Assistant Professor at the Department of Organization and Management, Wrocław University of Science and Technology, Poland, This email address is being protected from spambots. You need JavaScript enabled to view it.
    https://orcid.org/0000-0002-1027-991X

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