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Anthropic Proves in Court Using Copyright Content for AI Training is Fair
- A federal judge in San Francisco ruled that Anthropic's use of copyrighted books to train its AI system is fair use under US copyright law.
- Judge William Alsup found Anthropic's AI training transformative as it analyzed writing, extracted uncopyrightable data, and developed new technology.
- Training the large language model (LLM) was considered transformative as it aimed to teach statistical relationships between words to generate new text.
- The process was compared to learning how to write by reading books rather than copying them verbatim.
- There was no evidence that Anthropic's model reproduced or directly substituted the original works.
- Anthropic downloaded millions of copyrighted books from various sources, including pirate sites, to train its AI model.
- The court ruled that obtaining books through piracy infringed authors' copyrights and was not protected as fair use.
- A trial is scheduled in December to determine damages related to the infringement.
- The case originated from a class action lawsuit by authors alleging Anthropic used unauthorized copies of their books for training its AI model.
- While training AI on lawfully obtained works is legal, relying on pirated materials was criticized for undermining copyright protections.
- The ruling is considered significant for the AI industry, affirming fair use with legally obtained materials but cautioning against piracy.
- Various companies, including OpenAI, Meta, and Stability AI, are facing legal challenges over alleged unauthorized use of copyrighted material for training AI models.
- The decision is anticipated to impact copyright disputes in the AI industry, with appeals and further litigation likely to follow.
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