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美国司法部正式支持OpenAI:AI训练属合理使用

A massive win for OpenAI (and for AI training in general) for its legal case aga…

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美国司法部首次正式介入AI版权诉讼并明确支持训练属合理使用,这对整个行业合规路径有重大指引意义,从业者务必关注后续判决走向。

A massive win for OpenAI (and for AI training in general) for its legal case against New York Times.

OpenAI(以及广义上的AI训练)在其针对《纽约时报》的诉讼案中取得重大胜利。

The U.S. govt just formally backed OpenAI’s claim that copyrighted-text training is fair use, partly on national-security grounds.

美国政府正式支持OpenAI关于使用受版权保护文本进行训练属于“合理使用”的主张,部分理由是基于国家安全考量。

This is Washington’s first formal intervention in the wider wave of copyright lawsuits over AI training, though the filing is advisory rather than binding on the court.

这是华盛顿方面首次就围绕AI训练的广泛版权诉讼浪潮进行正式干预,尽管该提交文件仅具建议性质,对法院并无约束力。

The U.S. Dept of Justice filed a statement of interest of the US formally arguing in the OpenAI copyright litigation that training LLMs on copyrighted texts should generally qualify as fair use;

美国司法部提交了一份利益声明,在OpenAI版权诉讼中正式主张:利用受版权保护的文本训练大型语言模型(LLM)通常应被视为合理使用;

That distinction still leaves separate copyright questions around how training data was acquired and whether particular outputs reproduce protected passages. The Justice dept separated acquiring material, training on it, and generating outputs, then focuses its argument specifically on copying at the training stage.

这一区分仍留下了关于如何获取训练数据以及特定输出是否复制了受保护段落等独立的版权问题。 司法部将获取材料、基于其进行训练以及生成输出分开讨论,并将其论点具体聚焦于训练阶段的复制行为。

It argues that training serves a different purpose from publishing an article because an LLM uses text to learn statistical relationships and generate new responses.

它认为,训练与发表文章的目的不同,因为LLM利用文本来学习统计关系并生成新的响应。

For market harm, DOJ says training itself does not substitute for the original work, so later AI-generated competition should not automatically make the earlier training unlawful.

关于市场损害,司法部表示,训练本身并不替代原作,因此后续由AI生成的竞争不应自动使先前的训练行为非法化。

The administration also warns that blanket licensing requirements could raise barriers for smaller AI companies and put U.S. developers at a disadvantage against foreign competitors.

政府还警告称,一刀切的许可要求可能会提高小型AI公司的门槛,并使美国开发者在与外国竞争对手的较量中处于不利地位。

The court must still decide fair use case by case, but adopting DOJ’s framework would shift much of the legal pressure from model training toward data acquisition and specific outputs.

法院仍需逐案裁定合理使用问题,但采纳司法部的框架将使大部分法律压力从模型训练转向数据获取和特定输出。

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