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OpenAI Highlights Amicus Briefs Supporting Fair Use in AI Training Litigation

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OpenAI compiled excerpts from amicus briefs submitted in the New York Times copyright lawsuit, arguing that using protected works for AI model training falls within the fair use doctrine and supports innovation across industries.

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In a post regarding ongoing copyright litigation with The New York Times, OpenAI presented perspectives from various amicus curiae filings supporting the application of fair use to AI model training. The highlighted submissions—originating from library associations, advocacy groups, legal scholars, creators, and public interest entities—argue that model training serves a transformative purpose distinct from original works, does not provide substitute access, and aligns with historical copyright principles that promote broader technological and scientific progress.

Key takeaways

  • OpenAI compiled excerpts from amicus briefs submitted to the court in its copyright dispute with The New York Times.
  • Filings from library and tech associations argue that AI training serves a transformative purpose and does not create market harm cognizable under copyright law.
  • Submissions from author and developer alliances contend that general market competition from non-infringing outputs does not equate to actionable market dilution.
  • Briefs emphasize that restricting training under fair use could impact researchers, educators, and independent creators who rely on AI systems.

Source:OpenAI News Read the original ↗

Prepared, checked and automatically published by AI; not individually reviewed by a human.

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