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cnBetaUpdated Oct 30 20:07

Wikimedia proposes a compromise position in AI copyright case: training may constitute fair use, but reproducing original text should require authorization

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Wikimedia has proposed a compromise position in the AI copyright lawsuit, arguing that using copyrighted works without permission for large language model pre-training may qualify as fair use if the model's output differs from the original text, but that when chatbots directly output article content and replace readers' access to the original works, AI companies should comply with licensing requirements. Wikimedia points out that models reproduce Wikipedia text published under open licenses but do not necessarily comply with conditions such as attribution and share-alike, and it worries that if courts broadly rule that AI training is entirely unrestricted, this could open the door to ignoring licenses. The backdrop to this position is that The New York Times sued OpenAI and Microsoft in 2023 for scraping large numbers of news articles without permission to train AI systems, with the two companies arguing that such training constitutes fair use.

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Wikimedia has offered a layered compromise stance on training versus output in the AI copyright dispute, which can serve as a reference for understanding the direction of The New York Times v. OpenAI case.

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维基媒体认为,网站抓取本身不应被视为版权侵权;未经许可将受版权保护的作品用于大型语言模型预训练,如果模型产出与原文“有所不同”,可以适用合理使用原则。但如果聊天机器人直接输出文章内容,取代读者访问原始作品,AI公司就应遵守授权要求。

这一主张与维基百科采用的知识共享署名—相同方式共享许可有关。维基媒体称,模型会复现以开放许可发布的维基百科文字,却未必遵守署名和相同方式共享等条件。基金会担心,若法院广泛认定AI训练一概不受限制,可能为忽视许可、削弱作者与读者之间内容流通开绿灯;反过来,若版权方获得过于宽泛的控制权,也可能阻碍对作品进行创新性、转化性使用。

维基媒体还指出,AI工具既带来风险,也能帮助维基百科编辑识别破坏性修改、版权违规和人肉信息,并找出需要改进的条目;但聊天机器人直接提供信息,也可能让用户不再访问维基百科及其他原始网站,削弱依赖社区维护的开放知识项目。

《纽约时报》2023年起诉OpenAI和微软,指控两家公司未经许可抓取大量新闻文章并用于训练AI系统;两家公司主张相关训练属于合理使用。维基媒体警告,法院若未能细致权衡训练与生成内容的差异,裁决可能影响未来AI开发、开放网络以及用户获取信息的方式。

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