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Comedian Sarah Silverman and two authors have filed copyright infringement lawsuits against Meta Platforms and OpenAI for allegedly using their content without permission to train artificial intelligence language models.
Because it’s their work being used algorithmically to support someone else’s.
Regardless of how you feel about AI, the training models have to exclude copyrighted works to not have this happen, because otherwise it is absolutely true that that AI keeps record of everything fed into it, and if you dont have the rights to what was fed into it, then there’s a copyright issue. Because even if it’s being reworked and influenced by other works, it is still using other people’s stuff to do it. It is, in many ways, an overgrown randomization & automation tool.
The problem is that people dont see AI’s as a tool that companies are using, they see it almost like a person learning. It’s not like a person learning, and cant be treated the same as say, a consumer reading the book referenced (in this example) for enjoyment.
it is absolutely true that that AI keeps record of everything fed into it
No it isn’t.
A properly trained deep learning system will ultimately far smaller than all of the data it’s been trained on. It’s simply impossible for it to have retained a record of very much of it at all.
When everything is working correctly it shouldn’t have any of the actual text stored at all. Certainly every single piece of training data will have left some impression on the model, but that’s a very long way from actually storing the training data. The model consists of statistical relationships, not a copy-paste of the inputs.
Strictly speaking there is something resembling text in the model, but it’s made up of the smallest possible units of language (unless there’s been overfitting, in which case the training has gone wrong and there probably would be a case to answer).
The model builds sentances from a list of “phrases” which don’t even need to line up with word boundaries. Things like “is a” might be treated as a “word”, as might “ing”, if the model finds that to be a useful snippet.
Because it’s their work being used algorithmically to support someone else’s.
Regardless of how you feel about AI, the training models have to exclude copyrighted works to not have this happen, because otherwise it is absolutely true that that AI keeps record of everything fed into it, and if you dont have the rights to what was fed into it, then there’s a copyright issue. Because even if it’s being reworked and influenced by other works, it is still using other people’s stuff to do it. It is, in many ways, an overgrown randomization & automation tool.
The problem is that people dont see AI’s as a tool that companies are using, they see it almost like a person learning. It’s not like a person learning, and cant be treated the same as say, a consumer reading the book referenced (in this example) for enjoyment.
No it isn’t.
A properly trained deep learning system will ultimately far smaller than all of the data it’s been trained on. It’s simply impossible for it to have retained a record of very much of it at all.
When everything is working correctly it shouldn’t have any of the actual text stored at all. Certainly every single piece of training data will have left some impression on the model, but that’s a very long way from actually storing the training data. The model consists of statistical relationships, not a copy-paste of the inputs.
Strictly speaking there is something resembling text in the model, but it’s made up of the smallest possible units of language (unless there’s been overfitting, in which case the training has gone wrong and there probably would be a case to answer).
The model builds sentances from a list of “phrases” which don’t even need to line up with word boundaries. Things like “is a” might be treated as a “word”, as might “ing”, if the model finds that to be a useful snippet.