You are using an out of date browser. It may not display this or other websites correctly. You should upgrade or use an alternative browser.
copyright training
About this tag
This tag covers discussions about copyright law as it applies to training data for artificial intelligence models, particularly in the context of the Ninth Circuit DMCA 1202(b) case involving GitHub Copilot. The content explores how courts are interpreting copyright management information, liability for companies using web-scale code repositories for model training, and the implications for open-source licensing. Key themes include the mechanics of model training, the scope of DMCA Section 1202, and whether an identicality threshold is required for viable claims. The tag is relevant for those interested in the intersection of copyright, AI training, and legal liability.
The Ninth Circuit’s decision to weigh a narrow but potent question about the Digital Millennium Copyright Act (DMCA) in the GitHub/Copilot litigation has quietly become a landmark moment for how courts will treat training data, copyright management information, and the limits of liability for...