AI’s attribution problem gets worse as models scale

Diffusion models are becoming sophisticated enough that they can reproduce an image even when they don’t have access to the original. In a series of ‘what if’ scenarios, researchers associated with MIT’s Computer Science & Artificial Intelligence Laboratory (CSAIL) swapped out different training datasets to test the impact on image outputs when original image data was completely removed. It turns…