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Authors Lose Copyright Fight as Meta’s AI Use Deemed Fair

Key Takeaways

  • ​A judge ruled Meta's AI book training was fair use, as authors failed to show market harm;
  • The decision applies only to this group of 13 authors and not to AI training practices overall;
  • The judge warned that AI could reduce demand for human-made work and hurt creative value.

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Authors Lose Copyright Fight as Meta’s AI Use Deemed Fair

A US court has ruled in favor of Meta in a copyright case brought by a group of writers who claimed the company used their books without permission to train its artificial intelligence (AI) systems.

The lawsuit was filed by 13 authors, including Sarah Silverman, Junot Díaz, and Andrew Sean Greer. They argued that Meta’s use of their books to build language models was a copyright violation.

However, Judge Vince Chhabria said in a June 25 court document that the authors did not provide enough proof that Meta’s actions harmed the market for their work. He explained that their claims lacked detail and did not demonstrate how the AI tools might reduce demand for their books or affect future sales.

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Without this kind of evidence, he found the use to fall under what the law allows as "fair use".

Still, Judge Chhabria noted that this decision should not be taken as approval of how tech companies are collecting and using copyrighted material. He stated that the ruling only applies to this specific case and should not be seen as a statement about AI training practices in general.

In his ruling, Judge Chhabria stated that AI systems can produce huge amounts of content very quickly, which could reduce the need for human-made work. If that happens, it might lower the value of creative work and discourage people from making it in the first place.

On June 23, Judge William Alsup ruled that Anthropic’s use of legally purchased books to train its artificial intelligence (AI) models was lawful. What did he say? Read the full story.

Aaron S. Editor-In-Chief
Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.

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