Research2h ago
AI Art Often Untraceable To Training Data
Removing individual images from training sets failed to alter the outputs of generative models, according to MIT CSAIL. This finding suggests AI models synthesize patterns rather than copying specific works. The result complicates copyright claims for artists. Practitioners now face a harder path when attempting to prove direct infringement in generative AI litigation.