In the age of large language models (LLMs) like ChatGPT, it might be tempting to use these tools to rapidly generate Wikipedia articles. Their fluent prose and speedy output present an alluring shortcut. However, the Wikipedia editing community is overwhelmingly opposed to letting LLMs write our content. The reason is simple: such AI-generated text threatens the core principles that make Wikipedia reliable. We have seen that asking an LLM to "write a Wikipedia article" can produce outright fabrication, complete with fictitious references. From factual inaccuracies that readers might never catch to citations that lead nowhere, LLM-created content poses risks Wikipedia cannot afford. This essay outlines the community’s firm concerns – factual inaccuracy and hallucinations, unverifiable sourcing and fake citations, damage to the collaborative editing model, and long-term erosion of content integrity – and argues that Wikipedia must remain a human-driven project grounded in verifiable truth.
One of the most alarming issues with AI-generated text is the tendency of LLMs to "hallucinate" – to fabricate information that...
James Dreben :mw:
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