Artificial intelligence systems for assessing creditworthiness

Mardonova Durdona Yaxshiboy Qizi

GREEN ECONOMY AND DEVELOPMENT, 2025, vol. 3, issue 5

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.

Keywords: Artificial Intelligence; Creditworthiness; Machine Learning; Credit Risk; Financial Technology; Alternative Data; AI Models; Credit Scoring; Financial Institutions; Credit Data Analytics. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:teu:ged000:v:3:y:2025:i:5:id:5745

DOI: 10.5281/zenodo.15648565

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