---
title: XAI Framework for Risk Management
url: https://www.ml-quant.com/papers/repec/wsi-wschap-9781800615212-0004/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:wsi:wschap:9781800615212_0004
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fpdf%2F10.1142%2F9781800615212_0004%3Bh%3Drepec%3Awsi%3Awschap%3A9781800615212_0004
featured: 2024-09-18
citations: unknown
topic: Risk, Credit & Banking
---


# XAI Framework for Risk Management

The article highlights the difficulties of using machine learning models in practical risk management in banking due to their opacity and lack of explainability, and introduces a framework for leading eXplainable AI methods.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.worldscientific.com%2Fdoi%2Fpdf%2F10.1142%2F9781800615212_0004%3Bh%3Drepec%3Awsi%3Awschap%3A9781800615212_0004
- Identifier: RePEc:wsi:wschap:9781800615212_0004
- Released: 2024-09-18
- First featured: Quant Letter No. 66 (2024-09-18): https://www.ml-quant.com/issues/2024-09-18/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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