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. 2023 May 8;9(5):e16110. doi: 10.1016/j.heliyon.2023.e16110

Table 5.

Association between XAI properties and explanation effectiveness measures.

Essential properties of XAI Measures of explanation effectiveness
Mental model User satisfaction Trust assessment Task performance Correctability
Stakeholders of XAI AI regulators
AI developers
AI managers
AI users [29]
[30]
[31]
[32]
[33]
[32] [31]
[32]
[33]
[30]
[32]
[34]
Individuals affected by AI-based decisions [29] [29]
Objectives of XAI Explainability to evaluate AI [30]
[32]
[34]
Explainability to justify AI [29]
[32]
Explainability to improve AI [29]
[30]
[31]
[32]
[34]
[31]
[32]
[33]
Explainability to learn from AI
Explainability to manage AI
Quality of personalized explanations Fidelity [33] [30]
[32]
[34]
Generalizability N/A N/A N/A N/A N/A
Explanatory power
Interpretability
Comprehensibility [33]
Plausibility [29]
[30]
[31]
[32]
[34]
[29]
[32]
[32]
Effort [31]
Privacy
Fairness