AI Disclosure Policy Monitor
A structured reference for researchers, editors, and administrators navigating the fragmented landscape of AI disclosure requirements in scholarly publishing.
Use this researcher prompt for current updates
The publisher landscape for AI policy in scientific publication is fragmented and fast-moving. Elsevier, Springer Nature, Wiley, Frontiers, and Taylor & Francis each maintain distinct requirements. Funding agencies such as NIH and NSF are developing guidance independently. Standards bodies including COPE, ICMJE, and WAME have issued principles that some journals follow and others do not. For a researcher preparing a manuscript, determining what disclosure is actually required is itself a significant undertaking.
This monitor tracks entities that hold broad influence in scholarly communication or have issued formal, public-facing guidance with clear implications for researcher conduct. For each entity, it covers: whether AI disclosure is required, prohibited, or voluntary; the threshold that triggers disclosure; where disclosure must appear; whether AI-generated images are permitted; and what restrictions apply to peer reviewers. The monitor is designed to work alongside the HILOM Framework, an 8-dimension self-assessment that generates disclosure statements calibrated to these institutional requirements.
One of the most important findings this monitor communicates is that there is no consensus. Policies vary not only across publishers, but sometimes across journals within the same publisher's portfolio. That inconsistency is itself a critical finding for anyone developing institutional guidance.
| Organization / Entity | Disclosure Policy Status | Threshold | Location | Images | Reviewer |
|---|
About This Monitor
The AI Disclosure Policy Monitor provides a structured reference for how major research and publishing institutions are addressing generative AI in scholarly work. It tracks publicly available policies from leading publishers, journals, conferences, standards bodies, and research funding agencies.
Because publisher policies change faster than any static table can track, the monitor includes a built-in research prompt that users can execute in any major LLM platform to retrieve current policy information on demand.
Who Should Use This
- ■ Researchers preparing manuscripts for submission
- ■ Research administrators developing institutional AI policy
- ■ Journal editors benchmarking their requirements against the field
- ■ Anyone tracking how scholarly publishing is responding to generative AI
Institutional Update Prompt (HILOM Framework)
Execute this prompt in your Large Language Model platform (GPT-4, Gemini, Claude) to retrieve real-time policy updates following the Matthews Geographics HILOM framework.