Wikipedia bans AI-generated articles & page edits
Wikipedia’s organizers have called out LLM-written content for repeatedly violating its policies and will no longer allow articles or edits entirely generated by AI.
Wikipedia has rolled out a sweeping new policy banning generative AI and large language models (LLMs) from being used to generate the entirety of an article or edit to an article on the website.
This change was posted in a special page on the website regarding LLM policies, as spotted by 404 Media. Wikipedia claims the policy was spawned out of the fact that LLMs frequently violate its core policies, botching information, going beyond the original requests and adding to them inappropriately, or citing sources incorrectly (or not at all). Wikipedia stipulates that you can still use LLMs and AI in the case of basic copy editing, but even that must adhere to human review after the fact. LLMs are not allowed to produce their own content for the site.
Baby Globe is waiting for your visit 🧩
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— Wikipedia (@wikipedia.org) March 26, 2026 at 8:10 AM
Wikipedia’s change reflects a continuing pushback against AI in the use of internet information and data avenues. As Chatbots like ChatGPT have been increasingly used to plagiarize or bastardize original content, so too have many companies had to crack down or draw lines in the sand regarding generative AI, including us here at Shacknews.
Wikipedia’s enforcement of this new policy could take some fine-tuning. The organizers themselves have submitted that some editors have writing styles similar to LLM models and “more evidence than just stylistic or linguistic signs is needed to justify sanctions,” but it seems those caught using LLMs to generate Wikipedia content will find themselves under scrutiny and possible bans if policy-violating material is discovered. As we watch for more updates, stay tuned to the AI topic for more updates.
Shacknews staff does not use generative artificial intelligence (AI) in their content. Shacknews strictly prohibits the use of its content for AI training or to generate text, including text in the style or format used for this publication. Shacknews reserves all rights to this work.
TJ Denzer is a player and writer with a passion for games that has dominated a lifetime. He found his way to the Shacknews roster in late 2019 and has worked his way to Senior News Editor since. Between news coverage, he also aides notably in livestream projects like the indie game-focused Indie-licious, the Shacknews Stimulus Games, and the Shacknews Dump. You can reach him at tj.denzer@shacknews.com and also find him on BlueSky @JohnnyChugs.
