Aligning Faithful Interpretations with their Social Attribution

AbstractWe find that the requirement of model interpretations to be faithful is vague and incomplete. With interpretation by textual highlights as a case study, we present several failure cases. Borrowing concepts from social science, we identify that the problem is a misalignment be...

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Main Authors: Alon Jacovi, Yoav Goldberg
Format: Article
Language:English
Published: The MIT Press 2021-01-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00367/98620/Aligning-Faithful-Interpretations-with-their
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author Alon Jacovi
Yoav Goldberg
author_facet Alon Jacovi
Yoav Goldberg
author_sort Alon Jacovi
collection DOAJ
description AbstractWe find that the requirement of model interpretations to be faithful is vague and incomplete. With interpretation by textual highlights as a case study, we present several failure cases. Borrowing concepts from social science, we identify that the problem is a misalignment between the causal chain of decisions (causal attribution) and the attribution of human behavior to the interpretation (social attribution). We reformulate faithfulness as an accurate attribution of causality to the model, and introduce the concept of aligned faithfulness: faithful causal chains that are aligned with their expected social behavior. The two steps of causal attribution and social attribution together complete the process of explaining behavior. With this formalization, we characterize various failures of misaligned faithful highlight interpretations, and propose an alternative causal chain to remedy the issues. Finally, we implement highlight explanations of the proposed causal format using contrastive explanations.
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spelling doaj.art-83791b8f70c549c9be83f595a4058e752022-12-22T03:34:37ZengThe MIT PressTransactions of the Association for Computational Linguistics2307-387X2021-01-01929431010.1162/tacl_a_00367Aligning Faithful Interpretations with their Social AttributionAlon Jacovi0Yoav Goldberg1Bar Ilan University, Israel. alonjacovi@gmail.comBar Ilan University and, Allen Institute for AI, Israel. yoav.goldberg@gmail.com AbstractWe find that the requirement of model interpretations to be faithful is vague and incomplete. With interpretation by textual highlights as a case study, we present several failure cases. Borrowing concepts from social science, we identify that the problem is a misalignment between the causal chain of decisions (causal attribution) and the attribution of human behavior to the interpretation (social attribution). We reformulate faithfulness as an accurate attribution of causality to the model, and introduce the concept of aligned faithfulness: faithful causal chains that are aligned with their expected social behavior. The two steps of causal attribution and social attribution together complete the process of explaining behavior. With this formalization, we characterize various failures of misaligned faithful highlight interpretations, and propose an alternative causal chain to remedy the issues. Finally, we implement highlight explanations of the proposed causal format using contrastive explanations.https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00367/98620/Aligning-Faithful-Interpretations-with-their
spellingShingle Alon Jacovi
Yoav Goldberg
Aligning Faithful Interpretations with their Social Attribution
Transactions of the Association for Computational Linguistics
title Aligning Faithful Interpretations with their Social Attribution
title_full Aligning Faithful Interpretations with their Social Attribution
title_fullStr Aligning Faithful Interpretations with their Social Attribution
title_full_unstemmed Aligning Faithful Interpretations with their Social Attribution
title_short Aligning Faithful Interpretations with their Social Attribution
title_sort aligning faithful interpretations with their social attribution
url https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00367/98620/Aligning-Faithful-Interpretations-with-their
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