AINeutralarXiv – CS AI · 9h ago7/10
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Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety
Researchers identify a critical gap between safety standards for autonomous driving and explainable AI (XAI) methods: current popular XAI techniques like SHAP produce outputs that don't match the evidence types required by ISO and safety standards. The study derives 19 evidentiary criteria across 7 lifecycle stages and determines that causal XAI methods are structurally necessary for hazard identification and incident investigation, while correlational methods suffice elsewhere.