AI RESEARCH
PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models
arXiv CS.LG
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ArXi:2604.19684v1 Announce Type: new Explainable artificial intelligence (XAI) has predominantly focused on generating model-centric explanations that approximate the behavior of black-box models. However, such explanations often overlook a fundamental aspect of interpretability: different users require different explanations depending on their goals, preferences, and cognitive constraints.