COMPLIANCE OF BANKING AI SYSTEMS WITH EU AI ACT REQUIREMENTS AND THEIR ROLE IN RISK MANAGEMENT
DOI:
https://doi.org/10.5281/zenodo.19246783Keywords:
EU AI Act, artificial intelligence, banks, credit scoring, risk management, regulation, Basel Committee, machine learning, governance, high-risk systems, complianceAbstract
This article examines how banking AI systems—particularly those used in credit scoring—are positioned within
the regulatory framework established by the EU Artificial Intelligence Act (EU AI Act). The analysis centres on the Act’s
high-risk classification requirements and their technical implications for credit institutions. Rather than treating compliance
as a checklist exercise, this paper argues that structured AI governance, when properly implemented, can become a
source of institutional resilience and competitive differentiation. Practical recommendations are developed with particular
attention to the applicability of EU experience in the context of Uzbekistan’s emerging AI regulatory environment
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