A formal methodological framework for auditing robustness and fidelity in explainable AI: from application to trust certification
Read the original at arxiv.org→arXiv:2608.23817v1 Announce Type: new Abstract: SHAP and LIME are now standard tools for interpreting black-box predictions, yet their outputs can vary substantially when the input is perturbed by small amounts of...
Original headline: "A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification"
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- Aug 26, 04:00 UTC arXiv cs.AI lead source A Formal Methodological Framework for Auditing Robustness and Fidelity in Explainable AI: From Application to Trust Certification