Revisiting Explainable AI through Model-Independent Concept Dictionaries
Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transparency. However, existing XAI methods typically assume input features to be inherently interpretable, or they rely on intermediate internal abstractions that are difficul...
T. Schnake, Doreen Schöppenthau, Alexander Meyer et al.
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