Interpretable AI for Financial Risk Assessment

By: Peter Scott, Quinn Adams, Rachel Baker

Published: 2026-01-24

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Abstract

This paper develops novel interpretable AI models for transparent and reliable financial risk assessment. By providing clear explanations for their predictions, these models increase trust and facilitate regulatory compliance, offering a significant improvement over black-box approaches in the financial sector.

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