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