Explainability
The process by which a decision made by a machine learning model from input to output can be explained by, and to, a human in ways in which a human can understand.
Source: Institutional Arrangements for Fintech Regulation: Supervisory Monitoring (IMF Fintech) · p.13
Reports that mention Explainability
- Beyond Accuracy: A Multi-Dimensional Explainability and Model-Risk Framework for AI-Based Credit Decisions in BankingAcademic research
- AI-Enabled Personalization and Adaptive User Interface Design in Mobile Banking Applications: Opportunities for Saudi Financial TechnologyAcademic research
- Artificial Intelligence as a Catalyst for Change in Accounting and Finance: Exploring Applications, Opportunities and ChallengesAcademic research
- A Critical Review of Machine Learning Approaches for Credit Risk and Loan Default PredictionAcademic research
- A Graph Neural Network Platform for Blockchain Anti-Money Laundering: A Literature Review and Proposed System ArchitectureAcademic research
- From Algorithmic Opacity to Gender-Responsive Accountability: An Expert-Validated G-XAI Audit Framework for Hiring and Credit DecisionsAcademic research
- Algorithmic Digital Finance Platforms as a Driver of Transformation of Financial Behaviour of Economic EntitiesAcademic research
- The Architecture of AI Governance in Banking: Bridging Compliance and Explainability GapsAcademic research
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