{"title":"Possible misplaced perception of moral shame in AI-use disclosure.","authors":"Bor Luen Tang","doi":"10.1080/08989621.2026.2679554","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"2679554"},"PeriodicalIF":4.4000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accountability in Research-Policies and Quality Assurance","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/08989621.2026.2679554","RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICAL ETHICS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Accountability in Research: Policies and Quality Assurance is devoted to the examination and critical analysis of systems for maximizing integrity in the conduct of research. It provides an interdisciplinary, international forum for the development of ethics, procedures, standards policies, and concepts to encourage the ethical conduct of research and to enhance the validity of research results.
The journal welcomes views on advancing the integrity of research in the fields of general and multidisciplinary sciences, medicine, law, economics, statistics, management studies, public policy, politics, sociology, history, psychology, philosophy, ethics, and information science.
All submitted manuscripts are subject to initial appraisal by the Editor, and if found suitable for further consideration, to peer review by independent, anonymous expert referees.