Reliability and faithfulness of post-hoc explanations do not suffice to support claims about how a scientific phenomenon is structured.
arXiv preprint arXiv:1907.06831 (2019)
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Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.
citing papers explorer
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Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models
Reliability and faithfulness of post-hoc explanations do not suffice to support claims about how a scientific phenomenon is structured.
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Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection
Accuracy and understandability can be co-optimised for feature selection in tabular-data explanations while maintaining high classification performance.