Unverified50% confidenceFactExact time
OpenAI's core defense against the copyright lawsuits is the 'Fair Use' principle, arguing that training AI models constitutes transformative use
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
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Related Claims
Partially VerifiedThe core dispute in AI copyright litigation is whether the large-scale ingestion of copyrighted works during the AI model training phase constitutes "fair use"; proponents cite the Google Books case as precedent, while opponents point out that AI models can sometimes reproduce training data nearly verbatim.73% similarUnverifiedThe EFF believes that the existing copyright law framework, particularly the fair use doctrine, already provides sufficient analytical tools for transformative uses such as AI training, and that no entirely new copyright rules need to be created for AI70% similarUnverifiedAI companies argue that model training constitutes 'transformative use,' but rights holders counter that the training process involves complete copying of original works, and that generative AI is directly competing with and substituting for the original works market.68% similarUnverifiedIn trade secret determinations in the AI field, model architecture may be protected by copyright, while training methods, data recipes, hyperparameter tuning strategies, and proprietary evaluation benchmarks are typically protected as trade secrets.67% similarUnverifiedThe New York Times v. OpenAI case and the Getty Images v. Stability AI case are testing the applicable boundaries of the "fair use" doctrine in the context of AI training67% similar
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