Framework for Evaluating Faithfulness of Local Explanations

We study the faithfulness of an explanation system to the underlying prediction model. We show that this can be captured by two properties, consistency and sufficiency, and introduce quantitative measures of the extent to which these hold. Interestingly, these measures depend on the test-time data d...

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Bibliographic Details
Published in:arXiv.org 2022-02
Main Authors: Dasgupta, Sanjoy, Frost, Nave, Moshkovitz, Michal
Format: Article
Language:English
Subjects:
Estimators
Prediction models
Online Access:Get full text
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Summary:We study the faithfulness of an explanation system to the underlying prediction model. We show that this can be captured by two properties, consistency and sufficiency, and introduce quantitative measures of the extent to which these hold. Interestingly, these measures depend on the test-time data distribution. For a variety of existing explanation systems, such as anchors, we analytically study these quantities. We also provide estimators and sample complexity bounds for empirically determining the faithfulness of black-box explanation systems. Finally, we experimentally validate the new properties and estimators.
ISSN:2331-8422