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Pulitzer Winner Michael Chabon Sues Meta for Allegedly Using His Copyrighted Material to Train AI

Sep 12, 2023 - gizmodo.com
A group of authors, including Pulitzer Prize-winning author Michael Chabon, have filed a class action lawsuit against Meta, accusing the company of using their copyrighted works to train its Llama artificial intelligence software without consent or compensation. The lawsuit alleges that a significant portion of Meta's training dataset comes from copyrighted works, including those of the plaintiffs. The authors claim that their works were copied and used as training materials for the AI, which they did not consent to.

The same authors have also filed a similar lawsuit against OpenAI, the maker of ChatGPT. Other companies like Microsoft and Stability AI have also faced lawsuits for allegedly using copyrighted material to train their AI tools. The companies argue that they do not infringe on copyright laws as AI transforms the original work, qualifying it as fair use. However, the authors assert that they were injured by the companies' use of their copyrighted material for their AI dataset efforts.

Key takeaways:

  • Several authors, including Pulitzer Prize-winning author Michael Chabon, are suing Meta for allegedly using their copyrighted works to train its Llama artificial intelligence software without consent or compensation.
  • The lawsuit claims that Meta used 85 gigabytes of training data from a "Books" category, which included works from Project Gutenberg and a Books3 section of ThePile, a "shadow library" compiled by Bibliotik private tracker.
  • These authors have also filed a similar class action lawsuit against OpenAI, accusing the company of copying their works to teach their AI system how to respond to prompts requested by users.
  • Other companies, including Microsoft and Stability AI, have also been sued for allegedly using copyrighted material to train their AI tools. These companies argue that their use of the material qualifies as fair use because the AI transforms the original work.
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