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OpenAI sued by another group of writers, including Pulitzer Prize winner, for copyright infringement

Sep 12, 2023 - aibeat.co
OpenAI is facing another lawsuit from a group of writers, including Pulitzer Prize winner Michael Chabon, alleging that the AI lab used their copyrighted works without consent to train its language models. The plaintiffs argue that OpenAI's practices of scraping the internet for text data to train its models leads to the capture, download, and copying of copyrighted works. They claim that OpenAI's copyright infringement was intentional and in disregard of their rights, and that the company used the infringing acts for its own commercial benefits.

In response to previous lawsuits, OpenAI argued that the authors did not consider the limitations and exceptions to copyright, such as fair use. The outcome of this argument is yet to be determined. Meanwhile, several news publishers are considering legal action against OpenAI, which could lead to demands for billions in royalties. The New York Times is also considering its own legal steps, which could involve ordering the destruction of the dataset containing infringing content and mandating its recreation using authorized content.

Key takeaways:

  • OpenAI is facing another lawsuit from a group of writers, including Pulitzer Prize winner Michael Chabon, alleging that the AI lab used their copyrighted works without consent to train its language models.
  • The plaintiffs are seeking class-action status for the lawsuit and argue that OpenAI's acts of copyright infringement were intentional and in disregard of their rights.
  • Michael Chabon and 10,000 other authors have previously signed an open letter calling on industry leaders in the AI sector to address the issue of using copyrighted works for developing profitable AI technologies.
  • Several prominent news publishers are considering legal action against OpenAI, which could potentially lead to demands for billions of dollars in royalties. The New York Times is also considering its own legal steps, which could involve ordering the destruction of the dataset containing infringing content.
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