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Wikimedia urges courts to distinguish AI training from chatbot retrieval

1 NOVEMBER 2026·3 MIN READ·4 SOURCES

The Wikimedia Foundation filed an amicus brief on October 30, 2026, asking a court to assess different uses of copyrighted works in AI development separately. The Foundation says model training and retrieval-augmented generation (RAG) should not be treated alike under fair use.

Wikimedia urges courts to distinguish AI training from chatbot retrieval

Key takeaways · 4

  • 01

    AI teams should distinguish model training from retrieval that returns copied works: Wikimedia argues they raise different fair-use questions.

  • 02

    For RAG using copied works, the Foundation says companies should meet relevant platform or publisher licensing requirements and provide attribution for Wikimedia content.

  • 03

    Wikimedia says scraping its projects should follow public API rate limits or use its Enterprise API offerings.

  • 04

    The judge had not yet ruled on whether model-building use of copyrighted content is fair use or whether to accept the brief.

A brief that takes neither side

The Wikimedia Foundation filed its brief on October 30, 2026, in support of neither side in the copyright litigation.[1][2] The combined litigation includes 12 lawsuits against OpenAI, among them The New York Times’ case against Microsoft and OpenAI.[1] The Times filed that lawsuit in 2023, alleging that the companies’ use of Times content, including for model training, violates copyright.[1] OpenAI and Microsoft contend that training and deploying models on publicly available data is technological development covered by fair use.[1] The judge had not ruled on the fair-use question or on accepting Wikimedia’s brief.[4]

Training and retrieval are different uses

The Foundation argues courts should assess fair use separately for each way copyrighted works are used during AI development.[2] It says training a general-purpose language model is likely fair use when the model is something new and different from its sources.[1] By contrast, Wikimedia describes RAG as finding and copying online works, then returning that content to users through a chatbot.[1] It argues that RAG and similar methods grounding chatbot answers in copied works are likely not fair use.[1] The Foundation says companies using copied works this way should comply with the relevant platform’s or publisher’s licensing requirements.[1]

Licensing and Wikimedia’s platforms

For Wikipedia content, the Foundation says its Creative Commons CC BY-SA 4.0 license requires attribution and requires adaptations to remain under the same license.[1] It says uncredited use should be limited to model training, while RAG and similar uses should provide attribution under the license.[1] Wikimedia also says scraping its projects should follow public API rate limits or use its Enterprise API offerings.[1] The Foundation says non-human scraping and crawling can affect its ability to keep its sites online for human readers.[2] It hosts 13 free-knowledge platforms, including Wikipedia.[2]

Why the ruling could reach beyond the case

The Foundation says the ruling will be influential as other courts interpret copyright law for new technological uses.[1] It warns that an overly restrictive fair-use ruling could inhibit innovation and limit tools that benefit open-source projects such as Wikipedia, while a blanket fair-use ruling could reduce the availability of secondary-source material and weaken online knowledge.[1] Wikimedia says Wikipedia has more than 67 million articles in 300 languages and nearly 250,000 volunteers contribute each month.[1] It describes Wikipedia as a dataset used to train language models and as an information source for chatbots, search engines and voice assistants.[1]

The brief offers AI developers a practical distinction to consider: training on material and retrieving copied material for user-facing answers may raise different licensing and copyright questions. Professionals building AI products can use that distinction to review data pipelines and retrieval features separately, while recognizing that the court has not yet ruled.

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How this developed

  1. 1 November 2026

    Wikimedia urges courts to distinguish AI training from chatbot retrieval

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