OpenAI's ChatGPT may face a copyright quagmire after 'memorizing' these books
, David Bamman, one of the co-authors and an associate professor in the School of Information at UC Berkeley, summarized the paper thus:"Takeaways: open models are good; popular texts are probably not good barometers of model performance; with the bias toward sci-fi/fantasy, we should be thinking about whose narrative experiences are encoded in these models, and how that influences other behaviors.
To make such questions answerable, the authors advocate the use of public training data – so model behavior is more transparent. They undertook the project to understand what these models have memorized, as the models behave differently when analyzing literary texts that they've used for training.
Ochoa said the copyright issues with AI text generation are exactly the same as the issues with AI image generation. First: is copying large amounts of text or images for training the model fair use? The answer to that, he said, is probably yes.
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