hese are explicitly forbidden by publishers. Violations can lead to retractions, damaged reputations, and institutional investigations.
Why it’s forbidden: Your unpublished data, methods, and findings become part of the AI provider’s system. Elsevier explicitly states: “Authors may not upload previously-published or copyrighted content into external, open AI tools.”
What to do instead: Use local AI tools (GPT4All, Ollama) where data stays on your machine. If using cloud tools, only paste isolated paragraphs you’ve already written — never full manuscripts.
Why it’s forbidden: This is a form of plagiarism. You did not write it, and you cannot verify its provenance. AI models are trained on copyrighted material.
Elsevier: “AI output can only serve as inspiration… the manuscript
needs to represent the authors’ authentic and original contribution and reflect
the authors’ own analysis, interpretation, insights and ideas.”
Why it’s forbidden: Every major publisher and the ICMJE agree: authorship requires accountability. AI cannot:
If you used AI, disclose it. Don’t list it as an author.
Why it’s forbidden: Nature, Elsevier, and Science all prohibit generative AI images in manuscripts. Concerns include:
Exceptions: Non-generative ML tools used for image analysis (e.g., cell segmentation, automated counting) are fine — just describe them in Methods. Nature allows generative AI images only if the paper is specifically about AI, and even then on a case-by-case basis.
Why it’s forbidden: LLMs hallucinate references. They invent plausible-looking authors, titles, journals, and DOIs that do not exist. Unlike Elicit or SciSpace, general-purpose chatbots are NOT connected to verified citation databases.
Distinction: Using AI to format a reference list (e.g., “reformat
these references into Nature style”) is fine. Asking AI to generate references
is not.
Why it’s forbidden: All four major publishers explicitly forbid reviewers from uploading manuscripts to AI tools. This breaches confidentiality and may violate data protection laws.
Why it’s forbidden: GDPR and ethical research standards. Once data enters an AI system, you lose control over where it goes and how it’s used.
When you use AI for anything beyond basic grammar checks, include a declaration. Elsevier’s template is widely accepted:
During the preparation of this work the author(s) used [NAME OF TOOL]
in order to [REASON]. After using this tool/service, the author(s)
reviewed and edited the content as needed and take(s) full
responsibility for the content of the publication.
Where to place it: End of the manuscript, immediately above the references, under the heading: “Declaration of Generative AI and AI-assisted Technologies in the Writing Process.”
Examples of specific disclosures:
“During the preparation of this work the authors used Claude (Anthropic) to improve the clarity and conciseness of the Discussion section. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.”
“During the preparation of this work the authors used ChatGPT (OpenAI) to generate alternative phrasings of the Methods section to avoid text recycling from a prior publication. After using this tool, the authors reviewed and edited the content and take full responsibility for the publication.”
Scenario: A researcher at NBI has qPCR data showing gene RumC is upregulated 3.2-fold under mucin treatment in Ruminococcus gnavus (p = 0.003, n = 6 biological replicates).
Prompt: “Write a results paragraph about this qPCR data showing RumC is upregulated 3.2-fold in R. gnavus under mucin treatment.”
AI output (what could go wrong):
“Quantitative PCR analysis demonstrated a significant 3.2-fold upregulation of RumC in Ruminococcus gnavus ATCC 29149 when cultured on mucin as a sole carbon source (p < 0.01), consistent with previous reports of mucin-responsive gene regulation (Smith et al., 2019).”
Problems:
Prompt: “Make this sentence more concise without changing any data or meaning: ‘Quantitative reverse-transcription PCR analysis demonstrated that the RumC gene exhibited a statistically significant upregulation of 3.2-fold in Ruminococcus gnavus cells grown in the presence of mucin compared to the glucose control condition (p = 0.003, Student’s t-test, n = 6 biological replicates).’”
AI output (after researcher wrote the original):
“The RumC gene was upregulated 3.2-fold in R. gnavus during growth on mucin compared to glucose (p = 0.003, Student’s t-test, n = 6).”
The researcher wrote the content. AI only trimmed it. All data intact.
Different AI tools excel at different writing tasks. Here is a practical guide:
| Writing Task | Recommended Tool | Why |
|---|---|---|
| Grammar and clarity polish | Any (ChatGPT, Claude, local model) | Non-substantive, low risk — any capable LLM can do this |
| Restructuring arguments | Claude | Better at structured reasoning and logical flow |
| Plain-language summaries | ChatGPT, Claude | Simple creative task, any model works |
| Title brainstorming | Any | Low stakes, high creativity — try multiple tools |
| Methods rephrasing | Any | Technical but formulaic — accuracy check is on you |
| Literature synthesis | Elicit, SciSpace | Citation-verified — never use a general chatbot for this |
| Formatting references | Any | Template-following task; verify output |
| Statistical interpretation | Do not use AI | Write this yourself |
Read more about literature-specific tools
and local AI for sensitive data.
Before submitting any manuscript where you used AI:
Remember: The goal is not to avoid AI. The goal is to use it as a tool
that amplifies your expertise — not replaces it. When in doubt, disclose more
rather than less.