On Aug. 12, U.S. District Judge William H. Orrick of the U.S. District Court for the Northern District of California issued an order granting in part and denying in part the defendants’ motions to dismiss various claims in Sarah Andersen v. Stability AI Ltd., a putative class action brought by artists alleging that their works were used by the defendants without permission, including to train the Stable Diffusion text-to-image AI software tool.
This is the second motion to dismiss decision in this case and concerns the plaintiffs’ first amended complaint. The court’s analysis provides some important insights into how courts are approaching training data cases.
Background
In early 2023, the plaintiffs filed suit against certain developers that have allegedly either contributed to the development of, or built products that leverage, Stable Diffusion, an AI tool that generates images in response to user text prompts.