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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Bibliographic Details
Main Authors: Joao Marques-Silva, Alexey Ignatiev
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1128212/full