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katedowninglaw.com | ||
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www.noorjahanrahman.com
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| | | | | Recently I teamed up with a colleague at Willkie, Farr & Gallagher to write a paper for GenLaw, a workshop on the intersection of AI and law, hosted by the International Conference on Machine Learning (ICML). You can read our essay on the GenLaw website, or below: 1. Introduction A question that has been top of mind for many proprietors of large language models (LLMs) is whether training the models on copyrighted text qualifies as fair use. The fair use doctrine allows limited use of copyrigh | |
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www.masslawblog.com
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| | | | | In the first two parts of this series I examined how large language models (LLMs) work and analyzed whether their training process can be justified under copyright law's fair use doctrine. (Part 1, Part 2). However, I also noted that LLMs sometimes "memorize" content during the training stage and then "regurgitate" that content verbatim or [...] | |
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chatgptiseatingtheworld.com
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| | | | | On late Friday, the U.S. Copyright Office issued its long-awaited report on AI training and fair use. It's labeled "Pre-publication Version," though it says no substantive changes will be made. UPDATE on May 8: President Trump reportedly fired Shira Perlmutter, the Register of Copyrights, which now raises a cloud of uncertainty over whether this report... | |
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www.theverge.com
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| | | The proposed class action suit claims Anthropic used pirated books sourced from a dataset called The Pile to train its family of Claude AI models. | ||
