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Policy for disclosure and credit allocation in LLM-assisted research

Develop and justify policy frameworks specifying how the use of large language models should be disclosed in research manuscripts and how authorship credit should be allocated for LLM-assisted works.

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Background

The paper surveys heterogeneous journal policies ranging from bans on LLM authorship to encouragement of AI use with disclosure, and argues there are pragmatic reasons to consider how to credit LLM contributions. However, it does not endorse a specific policy.

The authors explicitly state that policy questions about disclosure and credit allocation remain, underscoring the need for clear, actionable standards to guide researchers and editors.

References

While the present paper has focused on the authorial status of LLM users in research contexts, there remain philosophical questions about the authorial status of LLMs and the ethics of using them, as well as policy questions about how LLM use should be disclosed and how credit should be allocated for works thereby produced.

— Authorship Without Writing: Large Language Models and the Senior Author Analogy (2509.05390 - Hurshman et al., 5 Sep 2025) in Section V (Conclusion)