“ARTificial: Why Copyright Is Not the Right Policy Tool to Deal with Generative AI”

For the sake of this discussion, let’s assume that GAI ligation is successful. How would concepts of attribution and distribution work under existing copy- right rules of compensation? Should every author whose work is present in the dataset have an equivalent claim over every single output? How would such an outcome work in practice? Here, consider again the Stable Diffusion example. The model’s training dataset, LAION 5B, is composed of “5.85 billion CLIP-fil- tered image-text pairs.”¹⁵¹ Given the massive size of the training set, it is difficult to imagine how one could trace the attribution and weight of a single work into the final end result. To do so would be like proposing that a given output image is attributable to 5.85 billion copyright interests.

https://dx.doi.org/10.2139/ssrn.5090127

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