The enabling capabilities of artificial intelligence in improving the supervisory performance of Iran's banking system

Nasr Esfahani, Mohammad; Ghaemi Asl, Mahdi; Montazer, Rahele; Esmaili, Melika

doi:10.22059/jcountst.2025.388154.1218

The enabling capabilities of artificial intelligence in improving the supervisory performance of Iran's banking system

Document Type : Original

Authors

¹ Department of Islamic Economics and Banking, Faculty of Economics, Kharazmi University, Tehran, Iran.

² Banking, Insurance and Customs Department, Faculty of Management, Kharazmi University, Tehran, Iran.

10.22059/jcountst.2025.388154.1218

Abstract

Artificial intelligence, as one of the advanced technologies, plays an important role in the banking sector of Iran. This research evaluates the position of AI-enabled capabilities in improving the supervisory performance of Iran's banking system. These capabilities include fraud detection, information security and protection, risk management, and payment system improvement. Then, the importance of using artificial intelligence in Iranian banking is examined. This study also investigates the advantages and disadvantages of using artificial intelligence in banking, improving bank performance, reducing errors, increasing security, enhancing customer experience, and the challenges and obstacles in implementing artificial intelligence in banking. The statistical population in this research includes various individuals and units active in the banking sector, as well as professors from Kharazmi University who have studied the banking industry. The research results, based on the prioritization of sub-criteria and the pairwise comparison of information security and protection capabilities, fraud detection, risk management, and payment system improvement with different types of banking using the Analytic Hierarchy Process (AHP) aided by Expert Choice software, show that token-based banking is evaluated as more important than other types of banking. The output details indicate that in token-based banking, the capability of information security and protection with a relative weight of 0.492, risk management with a relative weight of 0.489, fraud detection with a relative weight of 0.481, and payment system improvement with a relative weight of 0.444 are prioritized, highlighting the significant importance of information security and protection capabilities and risk management in improving the supervisory performance of the banking system.

Keywords

Main Subjects

Economics

حوزة موضوعی: ایران

Scope: Iran

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