Attribution-based Explanations that Provide Recourse Cannot be Robust

Different users of machine learning methods require different explanations, depending on their goals. To make machine learning accountable to society, one important goal is to get actionable options for recourse, which allow an affected user to change the decision $f(x)$ of a machine learning system...

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Hauptverfasser: Fokkema, Hidde, de Heide, Rianne, van Erven, Tim
Format: Artikel
Sprache:eng
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