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Evaluating Explainability in Safety-Critical ATR Systems: Limitations of Post-Hoc Methods and Paths Toward Robust XAI

arXiv cs.AI · 2026-05-08 Cached

This paper evaluates explainability methods in safety-critical Automatic Target Recognition (ATR) systems, highlighting the limitations of post-hoc techniques like saliency and attention maps. It proposes a taxonomy and assessment framework to address issues such as spurious explanations and instability, advocating for more robust, causally grounded XAI approaches.

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