THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN BANKING SYSTEMS
Abstract
Artificial intelligence (AI) is rapidly transforming the banking sector by improving efficiency, decision-making, and customer service. It is applied in fraud detection, credit assessment, risk management, compliance monitoring, and portfolio analysis. At the same time, the adoption of AI creates new challenges related to explainability, data quality, privacy, bias, and operational resilience. This article examines the main applications of AI in banking, summarizes its key benefits, and discusses the risks that financial institutions must manage to ensure safe and effective implementation. The study concludes that the most sustainable model is not replacing humans with AI, but combining AI capabilities with human supervision and accountability.
References
OECD. (2024). Artificial Intelligence in Finance. Paris: OECD Publishing.
IMF. (2024). Artificial Intelligence and Financial Stability. Washington, DC: International Monetary Fund.
European Banking Authority. (2024). AI Applications in the Banking Sector. Paris: EBA.
Bank for International Settlements. (2024). Financial Stability Implications of Artificial Intelligence. Basel: BIS.
McKinsey & Company. (2024). The Future of AI in Banking. New York.
Deloitte. (2024). AI and Digital Transformation in Financial Services. London.
World Bank. (2024). Digital Finance and Artificial Intelligence. Washington, DC.
Published
Versions
- 2026-05-29 (2)
- 2026-05-24 (1)




















