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No silver bullet: interpretable ML models must be explained

Recent years witnessed a number of proposals for the use of the so-called interpretable models in specific application domains. These include high-risk, but also safety-critical domains. In contrast, other works reported some pitfalls of machine learning model interpretability, in part justified by...

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Bibliografische gegevens
Hoofdauteurs: Joao Marques-Silva, Alexey Ignatiev
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2023-04-01
Reeks:Frontiers in Artificial Intelligence
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Online toegang:https://www.frontiersin.org/articles/10.3389/frai.2023.1128212/full
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