用大模型写论文，可类比资深作者的贡献。
Authorship Without Writing: Large Language Models and the Senior Author Analogy
- 将大模型使用类比为不亲自执笔的资深作者。
- 在特定条件下，大模型生成全文也属合理署名。
- 适合关注学术署名伦理的研究者参考。
大语言模型在生物伦理、科学和医学写作中的使用仍存争议。尽管某些领域普遍认为大模型不能成为作者，但关于人类使用大模型是否可被视为作者尚无共识。许多领域中，作者身份由大型团队共享，其中一些人（如典型的资深作者）负责指导项目方向并确保研究完整性，却可能从不撰写一字。本文提出，在特定条件下，使用大语言模型的行为可类比于一种资深作者角色。根据多数领域的公认标准，即使大模型生成了完整论文草稿，其使用也可视为合法的作者贡献。因此，要么应承认此类使用为正当署名，要么现行作者资格标准需根本性修订。AI使用声明：仅使用GPT-5帮助格式化框1，其余部分未使用AI参与撰写。
原文摘要 · Abstract (English)
The use of large language models (LLMs) in bioethical, scientific, and medical writing remains controversial. While there is broad agreement in some circles that LLMs cannot count as authors, there is no consensus about whether and how humans using LLMs can count as authors. In many fields, authorship is distributed among large teams of researchers, some of whom, including paradigmatic senior authors who guide and determine the scope of a project and ultimately vouch for its integrity, may not write a single word. In this paper, we argue that LLM use (under specific conditions) is analogous to a form of senior authorship. On this view, the use of LLMs, even to generate complete drafts of research papers, can be considered a legitimate form of authorship according to the accepted criteria in many fields. We conclude that either such use should be recognized as legitimate, or current criteria for authorship require fundamental revision. AI use declaration: GPT-5 was used to help format Box 1. AI was not used for any other part of the preparation or writing of this manuscript.
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