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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems

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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