On Wednesday, Judge William Orrick of the US District Court for the Northern District of California heard oral arguments on defendants’ motion to dismiss in the case of Andersen v Stability Ltd, a closely-watched class action complaint filed by multiple artists against companies that have developed AI text-to-image generator tools like Stability AI, Midjourney, and DeviantArt.
During the hearing, the judge appeared to side with AI companies, thus making it likely that he would dismiss the case.
“I don’t think the claim regarding output images is plausible at the moment, because there’s no substantial similarity [between the images by the artists and images created by the AI image generators],” Orrick said during the hearing, which was publicly accessible over Zoom.
The issue is that copyright claims are usually brought against defendants who have made copies of pre-existing work or work that uses a large portion of pre-existing works, otherwise called derivative works. In other words, a one-to-one comparison typically needs to be made between two works to establish a copyright violation.
But, as explained in the most recent Art in America, the artists in the lawsuit are claiming a more complex kind of theft. They argue that AI companies’ decision to include their works in the dataset used to train their image generator models is a violation of their copyrights. Because their work was used to train the models, the artists argue, the models are constantly producing derivative works that violate their copyrights.
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