AI / LLM Disclosure Policy

Artificial-Intelligence and Large-Language-Model Disclosure Policy

Insight aligns with the recommendations of the ICMJE (2023 update), WAME, and COPE on the use of generative AI and LLM tools in scholarly publishing.

For authors

  1. Authorship. AI tools and LLMs cannot be listed as authors. Authorship requires accountability for the work as a whole, which AI tools cannot provide. The human authors remain fully responsible for every part of the manuscript.
  2. Disclosure. Use of generative AI must be disclosed in a dedicated "AI Assistance" subsection of the Methods (for empirical work) or in the Acknowledgements (for non-empirical work), specifying the tool and version, the task, and the extent of subsequent human editing.
  3. Limits. AI-generated images may not be submitted as primary research figures without explicit declaration and editorial approval. AI tools may not be used to fabricate, manipulate, or replace experimental data, and may not be used to write peer-review reports prior to submission.
  4. Citations. AI tools are known to fabricate citations. Authors who have used AI in drafting must independently verify every citation against the cited source.

For reviewers

  1. Confidentiality first. Submissions under review are confidential. Reviewers may not use any AI tool that retains, trains on, or transmits manuscript content to a third party.
  2. Disclosure. Any use of AI tools must be disclosed to the handling editor, specifying tool and task.
  3. Accountability. Reviewers remain fully responsible for the content of their reviews.

For the journal's own workflow

The journal's editorial team may use AI-assisted tools (including large language models) to support triage, citation verification, plagiarism screening, and reproducibility checks. AI does not make editorial decisions; all final decisions rest with named human editors.

This policy is reviewed at least annually.