AINeutralarXiv – CS AI · 4h ago6/10
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Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy
Researchers propose using spectral entropy to measure noise introduced by explainability AI (XAI) techniques applied to deep learning models, demonstrating the approach on ECG arrhythmia classification. The work addresses a critical gap in healthcare AI where distinguishing between genuine model signals and XAI-generated artifacts is essential for clinical trust and safety.