AINeutralarXiv – CS AI · 9h ago6/10
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Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning
Researchers propose a metamorphic testing framework to evaluate the trustworthiness of machine learning model explanations by identifying inconsistencies between model predictions and feature attributions, addressing the Rashomon effect where multiple models achieve similar performance but yield conflicting explanations.