DOI: https://doi.org/10.36719/2663-4619/126/89-93
Aydan Ibrahimli
Baku, Azerbaijan
https://orcid.org/0009-0009-0754-459X
ibragimliaydan4@gmail.com
AI-Based Credit Scoring for Financial Inclusion:
Insights from South Korea
Abstract
This study investigates artificial intelligence (AI)-based credit scoring systems aimed at enhancing financial inclusion in the context of South Korea. It highlights how AI models, compared to traditional credit scoring methods, can more accurately assess individual credit risk and expand access to financial services. The study also examines issues related to AI technologies, including transparency, ethical principles, and data security. The findings indicate that, when properly implemented, AI-based credit scoring can promote financial inclusion, particularly for population groups with limited or no access to traditional banking services.
Keywords: financial inclusion, credit risk assessment, South Korea, artificial intelligence, financial technology