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What English Wikipedia’s AI rule says
The English Wikipedia guidance treats LLM use according to the editing task, not according to how polished the prose appears. Using a chatbot to draft, expand, paraphrase, or otherwise rewrite encyclopedia article text is prohibited under the guidance identified by Wikimedia’s cross-project policy index. The same index describes guidance covering AI-generated images, sources, and comments, with narrowly defined exceptions. Because each Wikimedia project sets its own rules, this article describes English Wikipedia rather than every Wikipedia in every language.
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The practical test is straightforward: if the model is producing new encyclopedic wording or changing existing article wording, the activity falls on the prohibited side unless a specific exception applies. A citation attached to generated text does not make the text acceptable. The editor remains responsible for checking whether every statement is supported by a reliable, published source.
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No. Drafting a new article with ChatGPT or another LLM, then pasting that draft into English Wikipedia, conflicts with the guidance against using LLMs to generate article content. The same issue applies when an editor asks a model to rewrite an existing section for clarity, length, neutrality, or style. A human who reads the output before publishing it has not changed the fact that the model generated the article wording.
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AI-generated text also creates a practical verification risk. A chatbot can invent a fact, misstate a date, merge two people or events, or attach a real citation to a claim the source never makes. Grammatical, neutral-sounding prose is not evidence that the material belongs in an encyclopedia. Editors must be able to follow each citation and confirm that it supports the precise claim in the article.
What counts as generating or rewriting?
- Asking an LLM for a complete article, lead, section, paragraph, summary, or rewrite.
- Providing existing Wikipedia text and requesting a paraphrase, expansion, simplification, or “more neutral” version.
- Having a model combine several sources into publishable prose.
- Using generated references, quotations, images, or comments as if they were independently verified material.
An editor may still read public AI output while researching a topic, but any factual statement intended for Wikipedia must be checked against an independent, reliable source and written by the editor rather than copied from the model.
What AI use is allowed?
The exceptions are narrow and conditional. “Allowed” does not mean encouraged, risk-free, or unrestricted. Wiki Education’s July 14, 2026 guidance says even permitted uses are discouraged and emphasizes human responsibility for the final edit.
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Basic copyediting of your own writing
An LLM may suggest basic copyedits to an editor’s own writing. The editor must review every suggestion, and the model must not introduce new content. Copyediting here means limited mechanical improvements such as spelling, punctuation, grammar, or readability where the underlying meaning and factual claims remain unchanged.
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The policy language reproduced by Oliver Milman in The Guardian on March 27, 2026 states: “Editors are permitted to use LLMs to suggest basic copyedits to their own writing, and to incorporate some of them after human review, provided the LLM does not introduce content of its own.”
This exception is easy to exceed. A request such as “fix grammar and make this explanation clearer” may cause the model to add an example, strengthen a claim, remove a qualification, or alter a sentence so that the cited source no longer supports it. The same Guardian report reproduces the warning: “Caution is required, because LLMs can go beyond what you ask of them and change the meaning of the text such that it is not supported by the sources cited.”
AI-assisted translation
AI-assisted translation into English Wikipedia mainspace is listed as permissible when a human skilled in both the original and target languages reviews the translation. Wiki Education also describes this use as currently allowed while discouraging it.
Review must cover more than spelling. A bilingual reviewer needs to check names, dates, idioms, technical terminology, sentence scope, sourcing, and whether the translation accidentally adds or omits information. A machine translation that has not been reviewed by someone competent in both languages should not be treated as ready for publication.
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Why verifiability matters more than AI detection
Wikipedia’s central editorial concern is verifiability: readers must be able to follow a citation and confirm that the cited source actually contains the claim. AI-generated prose can look authoritative while failing this test. A citation may be genuine but irrelevant, may support only part of a sentence, or may be attached to a conclusion the source does not draw.
Wiki Education describes AI detectors as tools for identifying text that deserves additional human scrutiny, not as proof that an AI wrote it. A detector score cannot establish authorship, distinguish extensive editing from original writing, or replace source-by-source review. Editors should therefore investigate the claims and references rather than treating a probability score as a verdict.
How LLM Paste Check works
MediaWiki documentation describes an editing prompt called LLM Paste Check. It is designed to help newcomers consider AI-use rules and to help experienced editors review pasted text for issues such as unverifiable claims and hallucinated references. English Wikipedia’s default-on deployment is documented as September 24, 2026.
The feature looks for signals including the length of pasted text and chatbot metadata. Those conditions limit what it can identify: not every AI-generated passage will trigger a prompt, and a passage that triggers one is not automatically proven to be AI-written. The prompt is an invitation to review the text and sources, not a substitute for editorial judgment.
What a paste prompt should and should not change
- It should prompt a source check: verify each factual statement against the cited publication.
- It should prompt a policy check: ask whether the text was generated, rewritten, copyedited, or translated, and which exception, if any, applies.
- It should not be treated as authorship evidence: metadata and length-based detection are imperfect.
- It should not be “beaten” by splitting text into smaller pieces: evading a prompt does not make prohibited drafting compliant.
A compliant workflow for editors
- Identify the project. Confirm that you are editing English Wikipedia. If you are working on another language edition or Wikimedia project, open that project’s current AI guidance instead of assuming the English rule applies.
- Define the task. Decide whether you are writing original prose, copyediting your own prose, or translating. Drafting and rewriting are prohibited under the English guidance; copyediting and translation have separate conditions.
- Keep the source work independent. Locate reliable publications yourself. Do not rely on a chatbot’s bibliography, quotations, page numbers, or claims without checking the original source.
- Write the article text yourself. For a new section or article, compose the wording from the sources and your own understanding rather than asking an LLM to generate a draft.
- If copyediting, constrain the request. Use only your own text, ask for mechanical corrections, and reject any suggestion that adds a fact, changes emphasis, removes a qualification, or alters meaning.
- If translating, use a qualified reviewer. Have a person skilled in both languages compare the translation with the original and verify that citations support the translated claims.
- Audit every citation. Open each source and check the exact proposition, attribution, date, number, and degree of certainty. Split sentences or remove clauses that the source does not support.
- Respond to prompts constructively. If LLM Paste Check appears, pause and perform the policy and source checks above. Do not infer guilt from the prompt or assume that no prompt means the text is acceptable.
Decision table: which AI-assisted activity fits the rule?
| Activity | English Wikipedia treatment | Condition or risk |
|---|---|---|
| Generate a new article or section | Prohibited | The model is creating article content. |
| Rewrite existing article prose | Prohibited | Paraphrasing and expansion are still rewriting, even after human review. |
| Suggest basic copyedits to your own writing | Narrowly permitted | Human review is required; no new content or unsupported meaning change. |
| Translate into English mainspace | Permitted with review | A reviewer skilled in both languages must check the output; use is discouraged. |
| Generate or “find” citations | Unsafe and not a substitute for verification | Chatbots may hallucinate references or misrepresent what a source says. |
| Use a detector or paste prompt | Review aid only | Neither tool proves authorship or catches every AI-generated passage. |
Common misconceptions
“A human edited the AI draft, so it is allowed.”
Human editing does not convert generated or rewritten article text into copyediting. The exception is limited to suggestions on the editor’s own writing and bars the model from introducing content.
“A citation makes AI prose verifiable.”
Only the source itself can establish that. Editors must confirm that the publication supports the wording, scope, attribution, and certainty of the claim.
“A detector says 90 percent AI, so the editor violated policy.”
No. Detection can direct attention to a passage, but it cannot prove who wrote it. The appropriate response is to inspect the text, edit history, sources, and applicable project rules.
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LLM Paste Check uses limited signals based on text length and chatbot metadata. Its absence is not approval, and its presence is not proof.
“All Wikipedias have the same AI policy.”
Wikimedia projects are independent communities. The Meta-Wiki project index lists separate guidance for English Wikipedia and other language editions, which may differ in both scope and exceptions.
How to handle a questioned edit
If another editor questions AI use, address the substantive editorial issues first. Show the reliable sources for the claims, explain any translation or copyediting workflow, and correct wording that the sources do not support. Do not argue that polished style, a low detector score, or an attached citation proves compliance. If the question concerns a non-English project, consult that project’s own policy rather than importing English Wikipedia’s rule.
Bottom line for 2026
On English Wikipedia, do not use an LLM to draft or rewrite article content. The only listed uses relevant to ordinary editing are tightly bounded: human-reviewed basic copyedits to your own writing and human-reviewed AI-assisted translation into English mainspace. In every case, verifiability controls the outcome. Check the source, preserve its meaning, and treat detection prompts as review signals rather than proof of authorship. Because policies can change and editions differ, consult the current guidance for the exact project before publishing.
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