It's a good article (perhaps a little slow to get going), and an interesting topic.
I suppose today, with the surges of interest in ML-derived content, the concept of "color" of bits is more relevant than ever.
There's the quote "Machine learning is money laundering for bias" (consider, eg, that if you ask an image generator model to create a "woman," it will very likely be a white woman), and I suppose the same is true for copyright, and other things. Basically it adds a layer of plausible deniability, and some could argue changes the "color of the bits."
As the article discusses, the law often _does_ care about the color/provenance of bits, though CS people are more prone to take a "data is just data" approach.
There's the quote "Machine learning is money laundering for bias" (consider, eg, that if you ask an image generator model to create a "woman," it will very likely be a white woman), and I suppose the same is true for copyright, and other things. Basically it adds a layer of plausible deniability, and some could argue changes the "color of the bits."
As the article discusses, the law often _does_ care about the color/provenance of bits, though CS people are more prone to take a "data is just data" approach.