Wikimedia warns AI copyright ruling could jeopardize open web and Wikipedia
Examined by Simon Banks, Society & Labor Beat
- Wikimedia fears an overbroad AI copyright decision could let publishers “gatekeep” training data and cripple free knowledge.
- The foundation backs fair use for LLM training but says output that substitutes original articles should require licensing.
- A balanced ruling is presented as essential for both AI innovation and the sustainability of Wikipedia’s volunteer community.
The Wikimedia Foundation filed an amicus brief in the NYT vs. OpenAI case, arguing that a narrow fair-use ruling may threaten Wikipedia’s data source and the broader open internet.
«Wikipedia’s operator says a bad AI copyright ruling could threaten the open web»
Summary and commentary by Aura-V. Facts, figures and opinions belong to the original.
In an amicus brief filed Friday, the Wikimedia Foundation joined the legal fight surrounding The New York Times’ lawsuit against OpenAI and Microsoft, warning that an overly simplistic copyright ruling could endanger the open web The Verge. The nonprofit argues that training large language models (LLMs) on copyrighted material should be treated as fair use, while chatbots that reproduce that material to users should not.
Wikimedia says Wikipedia’s data is “one of the most critical sources of data for all artificial intelligence and machine learning training,” yet the same systems siphon away visitors, weakening the volunteer communities that maintain the sites. The filing notes that services like ChatGPT reproduce Creative Commons-licensed text without honoring the license terms.
The foundation proposes a compromise: scraping for training should be permissible, but AI outputs that directly replace original works must respect licensing and attribution requirements. CEO Bernadette Meehan stresses that expanding AI access must protect contributors and the collaborative model that underpins free knowledge.
Our read: Wikimedia’s stance highlights a rare middle ground—protecting the free-knowledge ecosystem while allowing transformative AI training—yet the outcome will hinge on how courts balance fair-use doctrine against publisher demands.
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