Pith. sign in

Authorship Without Writing: Large Language Models and the Senior Author Analogy

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it
abstract

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.

fields

cs.CY 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

AI and the Future of Academic Peer Review

cs.CY · 2025-09-17 · conditional · novelty 3.0

AI-assisted peer review is plausible as a supervised, task-specific supplement to human review, provided transparent governance and human accountability are built in.

citing papers explorer

Showing 1 of 1 citing paper.

  • AI and the Future of Academic Peer Review cs.CY · 2025-09-17 · conditional · none · ref 23 · internal anchor

    AI-assisted peer review is plausible as a supervised, task-specific supplement to human review, provided transparent governance and human accountability are built in.