[ldhough]

I agree, it seems like all the arguments that the use of data by AI should have no more restrictions than the use of data by humans hinge on the implicit (or sometimes explicit) assumption that human learning and machine learning are identical. While there are parallels, there also seem to be significant differences not only in how the learning is done, but also in outcomes for the person whose data is being used. And since a major purpose of IP, copyright, etc. is at least ostensibly to protect the creators of information from negative outcomes, I don't think the outcomes can be ignored when comparing human learning to ML.