AI-Driven Data Governance for AML/KYC in Credit Card Issuance: A Framework to Reduce Regulatory Consent Orders
In the very digitalized financial world today, the convergence of artificial intelligence (AI) and data governance can transform anti-money laundering (AML) and know-your-customer (KYC) compliance in credit card issuing. This paper discusses how AI-governance models can assistin closing regulatory gaps, enhance operational performance, and reduce the likelihood of regulatory consent orders. Based on current research and AML/KYC industry applications, the paper determines the most common AI techniques in AML/KYC to include machine learning, natural language processing, and explainable AI.
Institutions
- IMS Unison University (IN)
- Dalmia Institute of Scientific & Industrial Research (IN)
Publication Details
- Journal
- International Journal of Computational and Experimental Science and Engineering
- Published
- 2025-03-30
- DOI
- https://doi.org/10.22399/ijcesen.3757
- Primary Topic
- Global Energy and Sustainability Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00