Perhaps a good solution would be to form a trust responsible for storing and distributing training data. It could be held in common by all contributors and allo

Perhaps a good solution would be to form a trust responsible for storing and distributing training data. It could be held in common by all contributors and allow anyone to access high quality curated data. It would need legal allowances and exemption from copyright which would be difficult to work out but perhaps some mechanism could be created where copyright holders could derive benefit from not seeking to have their works removed, not necessarily monetary. This would at least get data collection out of the shadows and allow companies and researchers to attest that they are using the data only for training and not distributing it otherwise. That could go a long way toward clarifying issues of whether or not a book or article was in a dataset, how often it appeared, how many epochs it was used in, whether it only appeared as referenced or quoted by other text, etc. With that kind of disclosure it would be possible to write tests to ensure that the models won’t simply regurgitate the material without attribution or unprompted and publish those tests to assuage fears.