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AI-Based Credit Scoring for Financial Inclusion: Insights from South Korea.

  • Published In: Scientific Work / Elmi Iş, 2026, v. 20, n. 2. P. 89 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ibrahimli, Aydan 3 of 3

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. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Scientific Work / Elmi Iş. 2026/02, Vol. 20, Issue 2, p89
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2026
  • ISSN:2663-4619
  • DOI:10.36719/2663-4619/126/89-93
  • Accession Number:191909199
  • Copyright Statement:Copyright of Scientific Work / Elmi Iş is the property of Azerbaijan Science Center and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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