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The research aims to investigate how explainable AI models can improve credit risk analysis in FinTech applications.

June 20, 2026International Journal of Versatile Research and AnalysisOpen Access

Explainable AI Models for Credit Risk Assessment in Fin Tech Applications

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Research examines how explainable AI improves credit risk assessment in FinTech, indicating enhanced transparency and adaptability.

The research aims to investigate how explainable AI models can improve credit risk analysis in FinTech applications.
Analyses the limitations of conventional credit risk assessment practices
Evaluates the effectiveness of explainable AI models compared to traditional statistical methods
Explores the benefits of increased transparency and adaptability in credit risk assessments
Findings highlight that explainable AI models offer greater transparency in decision-making processes
Results indicate improved adaptability in credit risk assessments
Demonstrates potential for higher accuracy in predictions compared to traditional methods

Bhavana et al. (2026) studied this question.

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