AI & Scholarly Publishing Policy
Opus Publica — Governance Framework for Artificial Intelligence in Research Communication.
As artificial intelligence and automated writing tools evolve, Opus Publica establishes clear ethical guidelines governing the use of AI technologies across submission, peer review, and editorial workflows.
1. Authors & Artificial Intelligence
- No AI Authorship: Large Language Models (LLMs) or generative AI tools cannot be designated as authors or co-authors on any manuscript. Authorship requires human accountability, intellectual contribution, and legal capacity.
- Mandatory Disclosure: Authors who utilize generative AI tools for writing assistance, language editing, data processing, or code generation must explicitly disclose the tool, version, and specific purpose in the manuscript methods or acknowledgements section.
- Human Responsibility: Authors remain strictly accountable for the accuracy, integrity, original authorship, and factual validity of all content in their submitted manuscripts.
2. Reviewers & Confidentiality
- Prohibition of AI Inputs: Peer reviewers are strictly prohibited from uploading submitted manuscripts or peer review drafts into public or third-party AI models. Doing so violates author confidentiality and intellectual property rights.
- Human Evaluation: Peer review reports must represent the reviewer's independent scholarly analysis and critical judgment. Automated peer review summaries generated by AI tools are not accepted.
3. Editors & Publisher Governance
- Human Editorial Judgment: All manuscript decision-making—including desk rejection, review assignment, and acceptance—is conducted exclusively by qualified human academic editors.
- Integrity Standards: Opus Publica evaluates submission integrity through evidence-based editorial screening and peer review. We do not rely on unverified or proprietary automated AI detector scores to determine manuscript validity.
