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May 25, 2026Accountability in Research0 citations

Possible misplaced perception of moral shame in AI-use disclosure

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BTBor Luen Tang

Key Points

  • To examine the concept of moral shame related to AI use disclosure in research and its implications for honesty and integrity.
  • Analyzed the concept of moral shame in AI disclosure as proposed by Bao and Zeng.
  • Discussed the paradox between moral shame and honesty from integrity and epistemological perspectives.
  • Identified sources of misconception surrounding AI writing assistants and research integrity.
  • Identified moral shame as a potential misconception rather than an inherent ethical issue.
  • Highlighted the need for better understanding of research integrity regarding AI use.
  • Suggested improvements in AI-use policies and guidelines to address misconceptions.

Abstract

The concept of a moral shame associated with the disclosure of artificial intelligence (AI) use in research, as articulated by Bao and Zeng ("AI disclosure, moral shame, and the punishment of honesty. Accountability in Research, https://doi-org/10.1080/08989621.2025.2542197) is in line with other related notions such as AI guilt, and calls for improvements in AI-use policies and guidelines. Here, I note a potentially paradoxical nature of such moral shame, which I would argue is somewhat in tension with simply being honest. From both research integrity or social epistemological perspectives, moral shame associated with AI-used could be a misconception on the part of the individual that arises from 1) a poor grasp of research integrity and/or 2) an epistemic failure to recognize AI writing assistants for what they really are. These two sources of misconception would need addressing.

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Cite This Study

Bor Luen Tang (2026) studied this question.

synapsesocial.com/papers/6a13e7a80e02ee3982d3252bhttps://doi.org/10.1080/08989621.2026.2679554
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