• 2. AI Trained on Famous Authors’ Copyrighted Work. They Want Revenge – Part 2

  • Mar 27 2024
  • Durée: 27 min
  • Podcast

2. AI Trained on Famous Authors’ Copyrighted Work. They Want Revenge – Part 2

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  • Résumé

  • Generative AI tools are already promising to change the world. Systems like OpenAI's ChatGPT can answer complex questions, write poems and code, and even mimic famous authors with uncanny accuracy. But in using copyrighted materials to train these powerful AI products, are AI companies infringing the rights of untold creators? This season on UnCommon Law, we'll explore the intersection between artificial intelligence and the law. On episode one, we learned about the lawsuits filed against AI companies that trained their large language models on copyrighted work without permission. Now we'll learn about the legal defense that could give the AI companies a pass to continue scraping up whatever content they want, copyright-protected or not. Guests: Matthew Butterick, founder at Butterick Law, and co-counsel with the Joseph Saveri Law Firm on class-action lawsuits against OpenAI and others Isaiah Poritz, technology reporter for Bloomberg Law Matthew Sag, professor of law and artificial intelligence, machine learning and data science at Emory University School of Law Mark Lemley, professor of law at Stanford Law School and the director of the Stanford Program in Law, Science and Technology, who is also representing Meta and Stability AI in the copyright cases against them James Grimmelmann, professor of digital and information law at Cornell Tech and Cornell Law School
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