Explanation Quality Specifications: Metrics, Thresholds, and Acceptance Criteria for XAI

Key Points

• The aim is to define quality specifications for explanations in Explainable Artificial Intelligence (XAI).
• Developed metrics to evaluate explanation quality.
• Established thresholds and acceptance criteria for these metrics.
• Conducted a systematic review of existing frameworks.
• Identified key metrics for assessing explanation quality in XAI.
• Proposed specific thresholds for acceptable explanation performance.
• Facilitated a framework for evaluating transparency in AI systems.