We find that the requirement of model interpretations to be faithful is vague and incomplete. Indeed, recent work refers to interpretations as unfaithful despite adhering to the available definition. Similarly, we identify several critical failures with the notion of textual highlights as faithful interpretations, although they adhere to the faithfulness definition. With textual highlights as a case-study, and borrowing concepts from social science, we identify that the problem is a misalignment between the causal chain of decisions (causal attribution) and social attribution of human behavior to the interpretation. We re-formulate 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, making the alignment of faithful interpretations a requirement. With this formalization, we characterize the observed failures of misaligned faithful highlight interpretations, and propose an alternative causal chain to remedy the issues. Finally, we the implement highlight explanations of proposed causal format using contrastive explanations.

本研究旨在探讨模型解释的“忠实性”问题，提出了应准确刻画因果关系，实现对齐忠实性和期望社会行为的概念，并通过对比解释实现了对替代因果链的解释，并弥补了misaligned faithful highlight interpretations的问题。

将忠实的解释与社会归因对齐