A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification

arXiv:2608.23817 · cs.AI, cs.CY, cs.LG · Submitted 2026-08-24 · Read on arXiv

cs.AI, cs.CY, cs.LG

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

• Fidelity — 39× in this paper · explained in 2 episodes
• Robustness — 24× in this paper · explained in 5 episodes
• AUC — 15× in this paper · explained in 2 episodes
• Ablation — 10× in this paper · explained in 1 episode
• Regularization — 8× in this paper · explained in 3 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Explainable AI (XAI) — 2× in this paper · explained in 7 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• SHAP values — 1× in this paper · explained in 2 episodes
• Shapley values — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• On the Robustness of Interpretability Methods

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