РецензированоEN2025

AI-POWERED RISK ASSESSMENT IN FINTECH LENDING PLATFORMS

Toshpulatova Sitora · Rashidova Nilufar (BBA Student, Sambhram University, Jizzax, Uzbekistan.) · Ubaydullayeva G`ozal (BBA Student, Sambhram University, Jizzax, Uzbekistan.) · Mr. Subhadhanuraja G (BBA Student, Sambhram University, Jizzax, Uzbekistan.) · Uzbekistan. Email ID: Subhadhanu@gmail.com (Assistant Professor, Department of Business Administration, Sambhram University.)

Современная наука и исследования · 4 · 2025

Аннотация

This article explores how artificial intelligence (AI) is revolutionizing credit risk assessment in financial technology (Fintech) lending platforms. By analyzing large datasets in real-time, AI systems enhance accuracy, reduce bias, and expand access to credit. The research incorporates global insights from organizations like the IMF, World Bank, and BIS, along with examples from emerging Fintech ecosystems, including Uzbekistan. The paper also examines regulatory challenges, data privacy concerns, and practical recommendations for implementing AI in a responsible and inclusive way. Key words: Fintech ecosystems, artificial intelligence, IMF, World Bank, BIS.

Доказательный фрагмент

«This article explores how artificial intelligence (AI) is revolutionizing credit risk assessment in financial technology (Fintech) lending platforms.»

Образец извлечения

Демо-превью

This article explores how artificial intelligence (AI) is revolutionizing credit risk assessment in financial technology (Fintech) lending platforms. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

doi.org/10.5281/zenodo.15389644