{"title":"致编辑的信:ChatGPT 等 NLP 系统不能列为作者,因为这些系统无法满足广泛采用的作者标准。","authors":"Nicole Shu Ling Yeo-Teh, Bor Luen Tang","doi":"10.1080/08989621.2023.2177160","DOIUrl":null,"url":null,"abstract":"<p><p>This letter to the editor suggests adding a technical point to the new editorial policy expounded by Hosseini et al. on the mandatory disclosure of any use of natural language processing (NLP) systems, or generative AI, in writing scholarly publications. Such AI systems should naturally also be forbidden from being named as authors, because they would not have fulfilled prevailing authorship guidelines (such as the widely adopted ICMJE authorship criteria).</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Letter to editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria.\",\"authors\":\"Nicole Shu Ling Yeo-Teh, Bor Luen Tang\",\"doi\":\"10.1080/08989621.2023.2177160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This letter to the editor suggests adding a technical point to the new editorial policy expounded by Hosseini et al. on the mandatory disclosure of any use of natural language processing (NLP) systems, or generative AI, in writing scholarly publications. Such AI systems should naturally also be forbidden from being named as authors, because they would not have fulfilled prevailing authorship guidelines (such as the widely adopted ICMJE authorship criteria).</p>\",\"PeriodicalId\":50927,\"journal\":{\"name\":\"Accountability in Research-Policies and Quality Assurance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-10-01\",\"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/10.1080/08989621.2023.2177160\",\"RegionNum\":1,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/2/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICAL ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accountability in Research-Policies and Quality Assurance","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/08989621.2023.2177160","RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/2/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICAL ETHICS","Score":null,"Total":0}
Letter to editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria.
This letter to the editor suggests adding a technical point to the new editorial policy expounded by Hosseini et al. on the mandatory disclosure of any use of natural language processing (NLP) systems, or generative AI, in writing scholarly publications. Such AI systems should naturally also be forbidden from being named as authors, because they would not have fulfilled prevailing authorship guidelines (such as the widely adopted ICMJE authorship criteria).
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.