内容来源：https://techcrunch.com/2026/07/20/anthropics-landmark-1-5b-copyright-settlement-is-approved/

内容总结：

美国联邦法官正式批准Anthropic 15亿美元版权和解案

据路透社报道，美国联邦法官本周一正式批准了人工智能实验室Anthropic与一群作者及图书出版商之间达成的15亿美元集体诉讼和解协议。这标志着这场备受瞩目的版权纠纷在法律程序上画上句号。

这笔巨额赔偿将覆盖约50万部受版权保护的作品，每部作品的权利人（作者或出版商）可获得3000美元。尽管该和解金额据信创下了美国版权法历史上的新高，但许多创作者认为这并非真正的胜利。

案件的核心争议在于，Anthropic在训练其AI模型时，未经授权下载并使用了数百万册受版权保护的书籍。法官此前已认定，Anthropic从Z-Library等盗版网站下载书籍的行为违法。然而，在AI训练是否构成“合理使用”这一关键法律问题上，法院支持了Anthropic的立场，裁定使用受版权文本训练AI属于合理使用。这一裁决被广泛视为AI行业发展的转折点。

由于Anthropic选择和解以规避陪审团审判可能带来的更高赔偿，该案并未进入上诉程序，因此这一地区法院的判决不会成为具有约束力的行业先例，其他法院仍可根据具体事实做出独立裁决。

目前，针对谷歌、Meta、Midjourney及OpenAI等公司使用受版权作品训练AI的诉讼仍在进行中。就在上周，包括阿歇特、圣智、爱思唯尔等出版商及作家斯科特·特罗在内的群体，已对谷歌提起新的集体诉讼，指控其使用受版权作品训练AI平台Gemini。

中文翻译：

Anthropic公司终于可以向一群起诉其侵犯版权的作者和图书出版商支付和解款项了。据路透社报道，一名联邦法官周一最终批准了Anthropic公司就一起集体版权诉讼达成的具有里程碑意义的15亿美元和解协议。

此前，美国加州北区地方法院法官威廉·阿尔苏普裁定Anthropic公司非法下载并存储了数百万本受版权保护的书籍，并于去年对该和解协议做出了初步批准。

阿尔苏普现已退休，法官阿拉塞利·马丁内斯-奥尔金于周一签署批准了该和解协议。

这笔和解金将针对大约50万部作品，每部作品支付3000美元，由拥有这些作品版权的作者和出版商共享。尽管这被认为是美国版权法历史上金额最高的和解案，但许多作者和创作者仍不认为这是一场胜利。

这是因为核心法律问题并未得到解决。阿尔苏普在核心问题上支持了Anthropic公司的立场。他裁定，使用受版权保护的文本训练AI模型属于合理使用——这一裁决被广泛视为AI行业的转折点。但该裁决并未豁免Anthropic公司最初获取这些书籍的方式。Anthropic公司从其购买的书籍（合法）以及从其从Library Genesis和Pirate Library Mirror等盗版网站下载的书籍（非法）这两个来源建立了其训练数据库。阿尔苏普认定第二种方法本身是非法的，并指出盗版问题可以交由审判决定；Anthropic公司随即同意和解，以避免审判以及陪审团可能判定的任何损害赔偿。

虽然最终批准结束了此案，但这并未解决整个行业的法律问题，因为阿尔苏普的裁决仅为单一地区法院的决定，而Anthropic公司选择和解意味着该案将永远不会进入上诉法院，从而无法成为具有约束力的先例。

其他法官仍可根据各自案件的事实自由得出自己的结论，而这正是其他地方正在发生的情况。目前仍有一系列针对谷歌、Meta、Midjourney和OpenAI等公司的版权诉讼，争议焦点在于使用受版权保护的作品训练AI模型是否合法。就在上周，包括哈切特、圣智学习出版公司、爱思唯尔、作家斯科特·图罗以及S.C.R.I.B.E.在内的一个出版界和作家团体，对谷歌提起了集体诉讼，指控该公司使用其受版权保护的作品来训练其AI平台Gemini。

英文来源：

Anthropic can finally start cutting checks to a group of authors and book publishers that sued the AI lab over copyright infringement. A federal judge gave final approval Monday of Anthropic’s landmark $1.5 billion settlement of a class action copyright lawsuit, Reuters reported.
Judge William Alsup of the U.S. District Court for the Northern District of California issued a preliminary approval of the settlement last year, after ruling that Anthropic had illegally downloaded and stored millions of copyrighted books.
Alsup has since retired and Judge Araceli Martinez-Olguin signed off on the settlement on Monday.
The payout will deliver $3,000 per work across an estimated 500,000 works, shared among the authors and publishers who hold rights to them. While the settlement is believed to be the largest in the history of U.S. copyright law, many authors and creators still don’t view it as a win.
That’s because of how the legal question was resolved. Alsup sided with Anthropic on the core issue. He ruled that training an AI model on copyrighted text counts as fair use — a decision widely seen as a turning point for the AI industry. But the ruling didn’t excuse how Anthropic obtained the books in the first place. Anthropic had built its training library from two sources: books it purchased and scanned (fine), and books it downloaded from pirate sites like Library Genesis and Pirate Library Mirror. Alsup found the second method illegal on its own terms and said that piracy question could go to trial; Anthropic agreed to a settlement soon after to avoid a trial and whatever damages a jury might have awarded.
While the final approval closes out this case, it doesn’t settle the legal question industry-wide because Alsup’s ruling was a single district court decision, and Anthropic’s decision to settle means the case will never reach an appeals court to become binding precedent.
Other judges are still free to reach their own conclusions on their own facts, which is exactly what’s playing out elsewhere. There is still a string of copyright lawsuits against companies such as Google, Meta, Midjourney, and OpenAI over whether it’s legal to train AI models on copyrighted works. Just last week, a group of publishers and authors, including Hachette, Cengage, Elsevier, author Scott Turow, and S.C.R.I.B.E. filed a class action lawsuit against Google over accusations that the company used their copyrighted works to train its AI platform, Gemini.