A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
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Subin An commented
Subin An commented
XAI Design Goals
- AI Novices
- G1: Algorithmic Transparency
- G2: User Trust and Reliance
- G3: Bias Mitigation
- G4: Privacy Awareness
- Data Experts
- G5: Model Visualization and Inspection
- G6: Model Tuning and Selection
- AI Experts
- G7: Model Interpretability
- G8: Model Debugging
Evaluation Measures
- M1: Mental Model
- M2: Explanation Usefulness and Satisfaction
- M3: User Trust and Reliance
- M4: Human-AI Task Performance
- M5: Computational Measures
XAI Design and Evaluation Framework
- Guideline1: Determine XAI System Goals
- Guideline2: Decide What to Explain
- Guideline3: Evaluate System Outcomes
- Guideline4: Decide How to Explain
- Guideline5: Evaluate Explanation Usefulness
- Guideline6: Design Interpretability Technique
- Guideline7: Evaluate Trustworthiness