SUN’IY INTELLEKT ASOSIDA FIRIBGARLIK (FRAUD) HOLATLARINI ANIQLASHNING ZAMONAVIY USULLARI (O‘ZBEKISTONDA ASAKA BANK MISOLIDA)
DOI:
https://doi.org/10.60078/2026-vol5-iss1-pp268-270Abstract
Mazkur tezisda moliyaviy tizimlarda firibgarlik (fraud) holatlarini aniqlashda sun’iy intellekt (SI) texnologiyalaridan foydalanishning zamonaviy usullari tahlil qilinadi. Raqamli moliyaviy xizmatlar kengayib borayotgan hozirgi sharoitda firibgarlik xavflari ham ortib bormoqda. An’anaviy nazorat mexanizmlarining cheklanganligi sun’iy intellekt asosidagi yechimlarni joriy etish zaruratini yuzaga keltirmoqda. Tezisda O‘zbekiston bank tizimida, xususan, Asaka bank faoliyati misolida ushbu texnologiyalarning amaliy ahamiyati yoritib beriladi.
References
Chen, Y., Li, J., & Zhang, Z. (2021). Fraud detection in financial transactions using machine learning techniques. Journal of Financial Crime, 28(3), 849–863. https://doi.org/10.1108/JFC-02-2021-0031
Maksudov, M. (2024). THE ROLE OF CYBERSECURITY AND DATA PRIVACY IN UZBEKISTAN: SAFEGUARDING DIGITAL LANDSCAPES IN THE 21ST CENTURY. Publishing House “Baltija Publishing”.
O‘zbekiston Respublikasi Markaziy banki. (2023). Bank tizimida raqamli texnologiyalar va moliyaviy xavfsizlikni ta’minlash masalalari. Toshkent.
OECD. (2022). Artificial intelligence in finance: Applications and regulatory approaches. OECD Publishing. https://doi.org/10.1787/ai-finance-2022-en
Tulanboyev, A., & Maksudov, M. (2024). THE ROLE OF ARTIFICIAL INTELLIGENCE IN LEARNING AND EDUCATION. Publishing House “Baltija Publishing”.
World Bank. (2020). Financial consumer protection and fraud prevention in digital finance. World Bank Publications. https://openknowledge.worldbank.org
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