Audience-Dependent Explanations for AI-Based Risk Management Tools: A Survey

Branka Hadji Misheva1, David Jaggi2, Jan-Alexander Posth2

  • 1ZHAW, School of Engineering, Institute of Data Analysis and Process Design, Winterthur, Switzerland.

Summary

This study explores explainable AI (XAI) needs in the Swiss financial sector. Findings reveal a gap between current XAI methods and diverse stakeholder requirements for understandable AI models.

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