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Wikimedia Foundation Urges Courts to Separate AI Training From Copying

Wikipedia’s operator says a bad AI copyright ruling could threaten the open web

Wikipedia’s operator says a bad AI copyright ruling could threaten the open web

The Verge

What changed

The Wikimedia Foundation is urging U.S. courts to draw a legal line between training large language models on copyrighted work and chatbots reproducing that work for users.

Wikipedia’s operator supports protecting the training process, but not chatbot regurgitation. It warns that a blunt ruling could restrict Wikipedia’s AI tools or put the open web at risk.

Why it matters

The distinction could shape how LLM developers build their systems and how freely Wikipedia can use AI-based tools. It also puts the open web itself into the legal spotlight: a decision aimed at AI copyright disputes could affect the wider ecosystem of published material that models learn from.

The practical stakes are still uncertain. Courts have yet to decide the legal standard, and it is not clear whether any ruling would materially change access to AI tools or the economics of web publishing. But Wikimedia’s position points to the central fault line: learning from copyrighted material and handing that material back to users are not necessarily the same act.

Sources (1)
  1. The VergeWikipedia’s operator says a bad AI copyright ruling could threaten the open web

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