AI may be learning from billions of images without copying any one of them

AI may be learning from billions of images without copying any one of them

An MIT study finds that AI-generated images often cannot be traced to individual training images, as larger datasets cause the influence of specific examples to fade.

Gen AI outputs are unattributable, study finds

Most AI-generated images trained on large datasets can’t be traced back to the data they were trained on, potentially throwing a curveball in intellectual property theft cases, a new study from MIT’s Computer Science and Artificial Intelligence Laboratory found. Researchers discovered a phenomenon they call “attribution decay,” where the more data a generative model is trained on, the harder it becomes to trace a generated image to a single imag…