MIT researchers found that in large AI image models, removing individual training images or entire artist portfolios often does not affect the generated output, a phenomenon termed “attribution decay.” This challenges current copyright frameworks and suggests model outputs may not be derivative works, raising questions around fair use and compensation for creators.