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Artificial intelligence systems for assessing creditworthiness

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  • Mardonova Durdona Yaxshiboy qizi

Abstract

This paper explores the application of Artificial Intelligence (AI) systems in assessing creditworthiness. AI-basedmodels leverage large datasets, machine learning, and advanced analytics to evaluate the credit risk of individualsand organizations more accurately and efficiently than traditional methods. By incorporating alternative data sources, AIsystems can provide deeper insights into the financial behavior of borrowers, enhancing the decision-making process forcredit institutions. This study examines the effectiveness, advantages, and challenges of using AI in credit assessmentsand highlights its potential to revolutionize the financial sector.

Suggested Citation

  • Mardonova Durdona Yaxshiboy qizi, 2025. "Artificial intelligence systems for assessing creditworthiness," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 3(5), May.
    • Handle: RePEc:teu:ged000:v:3:y:2025:i:5:id:5745
    DOI: 10.5281/zenodo.15648565
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