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The online encyclopedia has restricted editors from using large language models for article creation and editing, citing concerns over accuracy and authenticity, following a decisive community vote.<\/p>\n<\/div>\n
Wikipedia has moved to forbid the use of large language models to write or rework article content, citing repeated breaches of its foundational content rules. According to The Guardian, the English-language site , which holds more than 7.1 million entries , will bar editors from employing LLMs to generate or rewrite material. [2]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n The new policy permits two narrow exceptions: using LLMs for translations and for suggesting minor copyedits to an editor\u2019s own prose, so long as the model \u201cdoes not introduce content of its own\u201d and any suggestions are checked by a human. The guidance warns that \u201cLLMs 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.\u201d According to Search Engine Journal and TechCrunch, the carve-outs reflect concerns about AI altering meaning or inventing facts. [2]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n The decision follows a vote among volunteer editors that resulted in majority support for the ban, reflecting long-running debate within Wikipedia\u2019s community about how to handle AI contributions. Semafor and NDTV reported the vote was decisive, with editors pushing to replace earlier, looser language that had discouraged creating articles \u201cfrom scratch\u201d with a firmer prohibition. [7]<\/a><\/sup>,[6]<\/a><\/sup><\/p>\n Community efforts to manage earlier waves of AI-authored content have been under way since 2022, when chatbots such as ChatGPT popularised automated text generation. Wikipedia volunteers established initiatives to detect and remediate suspect articles; Wikipedia\u2019s own project pages indicate a backlog of pieces flagged for review and a template specifically for suspected AI-generated work. Industry reports note the volume of potential AI-written material has posed a heavy editorial burden. [5]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n The move arrives amid broader shifts in how people find information online. According to The Guardian and TechCrunch, tools powered by generative AI have been embedded into search and email platforms, and at one point ChatGPT reportedly surpassed Wikipedia in monthly visits. That uptake, editors say, heightens the risk that unchecked AI output could degrade encyclopaedic standards. [1]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n Wikipedia founder Jimmy Wales has previously expressed scepticism about relying on current AI models to draft articles, telling the BBC last year that the technology was \u201cnowhere near good enough\u201d for that role and describing the broader AI landscape as \u201ca mess.\u201d Coverage in The Guardian and other outlets framed the policy shift as consistent with Wales\u2019s caution and the community\u2019s insistence on verifiability. [1]<\/a><\/sup>,[3]<\/a><\/sup><\/p>\n Enforcement remains a practical challenge: several outlets note the difficulty of reliably detecting AI-generated text and observe that the policy offers limited technical guidance on identification. Search Engine Journal and Shacknews reported the new rules acknowledge detection limits but do not prescribe specific automated checks, leaving human editors and community processes to police compliance. [2]<\/a><\/sup>,[4]<\/a><\/sup><\/p>\n The policy change represents a significant assertion of editorial control by Wikipedia\u2019s volunteer network as platforms and publishers grapple with generative AI\u2019s implications for accuracy and authorship. According to TechCrunch and Semafor, the decision may prompt other information repositories to clarify or tighten their own rules on the use of LLMs. [3]<\/a><\/sup>,[7]<\/a><\/sup><\/p>\n Inspired by headline at:<\/strong> [1]<\/a><\/sup><\/p>\nSource Reference Map<\/h3>\n