1. AI and Authorship
1.1 Authorship accountability
- AI tools (e.g., ChatGPT, Bard, Claude, or other large language models) cannot be listed as authors.
- Authorship requires accountability, which cannot be assigned to AI systems.
1.2 Disclosure of AI use
- If AI tools were used for drafting, editing, language refinement, or data processing, this must be disclosed in the Methods section or another appropriate part of the manuscript.
1.3 Minor editing
- Minor AI-assisted copyediting (grammar, spelling, readability improvements) does not require formal disclosure.
1.4 Responsibility
- Authors remain fully responsible for the originality, accuracy, and ethical standards of the final manuscript.
2. AI-Generated Images and Figures
2.1 Restrictions
- AI-generated images, graphics, or videos are not permitted as primary scientific data or figures due to unresolved issues of copyright and research integrity.
2.2 Exceptions
- Exceptions may be considered if all conditions below are met:
- The AI system was trained on transparent and verifiable scientific datasets.
- The output complies with copyright and ethical standards.
- The figure is explicitly labeled as AI-generated.
2.3 Non-generative AI tools
- The use of non-generative AI or machine learning tools (e.g., for image enhancement, statistical modeling, data visualization) must be described in the manuscript.
- Such use must also be acknowledged in the figure/table captions.
3. AI Use in Peer Review
3.1 Confidentiality
- Reviewers must not upload manuscripts or reviewer reports into AI tools, as this compromises confidentiality and data security.
3.2 Declaration of AI use
- If AI tools are used to support the reviewer’s evaluation (e.g., language polishing of the review text), this must be transparently declared in the review report.
3.3 Accountability
- Reviewers remain fully responsible for the accuracy, validity, and fairness of their assessments.
4. Editorial Use of AI
4.1 Permitted uses
- GMR editors may employ internal or publisher-approved AI tools for accessory content such as glossary terms or posts for academic social media channels.
4.2 Verification
- All AI-assisted editorial content will undergo review and final approval by human editors before publication.
4.3 Transparency
- Any substantive use of AI in the editorial process will be clearly declared on a case-by-case basis.
5. Policy Review and Updates
5.1 Regular review
- This policy will be reviewed and updated periodically in accordance with international publishing standards (COPE, WAME, ICMJE) and evolving best practices.
5.2 Transparency of updates
- Any revisions to this policy will be published on the journal’s official website.