> There is a legal grey area as to how these regulations should apply to machine learning models. For example, can users ask to have their data removed from a model’s training data? Moreover, if such a request were granted, must the model be retrained from scratch? The fact that models can memorize and misuse an individual’s personal information certainly makes the case for data deletion and retraining more compelling.
This is an interesting angle I had not considered before. It seems like “right to be forgotten” requests could be quite damaging to the “train once run anywhere” promise of some of these models. (Or this could just mean that the training data needs to be more carefully vetted for personal data, but probably both as no vetting process can be 100% successful).
I think there are also going to be new difficult problems arising training on copyrighted data. Can I do a DMCA if your model contains/regurgitates too much of my book verbatim in a way that doesn’t meet fair use?
The depends on the country, but as for the US since you mention DMCA, ML using copyrighted work is probably legal. There just is not really much case law. Talk to a lawyer though, but depending on how risk averse you want to be there are definitely ways to avoid issues, but ensuring you can use such copyrighted works ect... Although, making a very large curated data set can be expensive.
This is an interesting angle I had not considered before. It seems like “right to be forgotten” requests could be quite damaging to the “train once run anywhere” promise of some of these models. (Or this could just mean that the training data needs to be more carefully vetted for personal data, but probably both as no vetting process can be 100% successful).