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Artists Score Major Win in Copyright Case Against AI Art Generators

Aug 16, 2024 - news.bensbites.com
Artists have won a significant legal victory against AI companies that use copyrighted images to train their AI systems. U.S. District Judge William Orrick has allowed copyright infringement and trademark claims to proceed against companies like Stability and Runway, which allegedly used billions of unauthorized images from the internet to create their AI tool, Stable Diffusion. The lawsuit could potentially affect any AI company that incorporated the model into its products.

The lawsuit was brought by artists including Karla Ortiz, who has worked on major film projects. The artists argue that the AI companies induced copyright infringement and that the Stable Diffusion models are themselves infringing works. The case will now move forward to discovery, where the artists could uncover information related to the way in which the AI firms harvested copyrighted materials. The court also allowed trademark claims to proceed, based on allegations that the AI companies used artists' names as prompts to generate similar images.

Key takeaways:

  • A federal judge has allowed key claims in a lawsuit against AI art generators to move forward, marking a significant win for artists who allege unauthorized use of billions of images downloaded from the internet to train AI systems.
  • The judge found that Stable Diffusion, an AI tool that can create hyperrealistic images, may have been built significantly on copyrighted works and created with the intent to facilitate infringement.
  • The lawsuit revolves around the LAION data set, built using 5 billion images allegedly scraped from the internet and used by Stability and Runway to create Stable Diffusion. It implicates Midjourney and DeviantArt for using the model in their products.
  • The case will now move to discovery, where artists could uncover information related to how the AI firms harvested copyrighted materials for training large language models. This could potentially lead to massive damages for the companies involved.
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