SECURITY Signal 15
US Department of Justice argues AI training on copyrighted works is transformative fair use
The US government filed a Statement of Interest supporting OpenAI by claiming that training large language models constitutes fair use.
A ruling in favor of the government's position would allow AI companies to ingest copyrighted web content without licensing payments. This creates a conflict between national security goals for AI development and the economic survival of content publishers.
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The DOJ claims training LLMs is exceedingly transformative and adds new expression or meaning.
Government officials argue that restricting AI training could hinder US AI development and national security.
Publishers report that AI-generated content and tools like AI Overviews have reduced search engine traffic by nearly 40%.
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The US Department of Justice has intervened in multiple lawsuits involving OpenAI and Anthropic by filing a Statement of Interest. The government argues that the process of training models on written works is transformative, which would categorize the practice as fair use under legal doctrine. This position supports AI companies against a broad group of plaintiffs, including authors and publishers like Ziff Davis and The New York Times.
Adopting this fair use standard removes the cost of licensing fees for AI companies during the ingestion phase. However, this approach creates a significant cost for content creators who lose control over their intellectual property. The DOJ specifically rejects the notion that AI-generated works in the same genre as the original material cause market harm.
The government's stance is driven by the belief that limiting training data would compromise US competitiveness and national security. This creates a tension where the state prioritizes the rapid development of AI capabilities over traditional copyright protections. Publishers argue that this strategy may destroy the human-created content that AI requires to function.
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