XAI techniques have been proposed as tools to "debug" machine learning models by revealing what they have learned. Challenging this narrative, we find that XAI attributions are strongly dominated by salient features independent of the role of these features for a model. See: tinyurl.com/48m4axnv
Explainable AI techniques have been proposed as tools to "debug" machine learning models. In a popular example, authors discovered a photographer's watermark when applying XAI in an ima...
Explainable AI techniques have been proposed as tools to "debug" machine learning models. In a popular example, authors discovered a photographer's watermark when applying XAI in an image classificat...
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