美国司法部在 OpenAI 与纽约时报的版权诉讼中提交意见书，主张用受版权文本训练 LLM 一般应属合理使用，称模型训练具有非凡转换性，并以国家安全为由警告全面许可要求会削弱美国 AI 开发者竞争力。
该意见书属建议性质、不约束法院，仍将数据获取方式与具体输出是否复制受保护段落作为独立问题留给法院逐案判断。
AI News / Industry
Back to AI news
The U.S. Department of Justice Submits Brief Supporting Training as Fair Use in OpenAI Copyright Lawsuit
The U.S. Department of Justice submitted a brief in the copyright lawsuit between OpenAI and The New York Times, arguing that training LLMs (large language...
Today AI Intelligence Brief
The U.S. Department of Justice submitted a brief in the copyright lawsuit between OpenAI and The New
York Times, arguing that training LLMs (large language models) on copyrighted text generally constitutes fair use. The brief states that model training is highly transformative and warns that full licensing requirements could weaken the competitiveness of U.S. AI developers for national security reasons. This brief is advisory and not binding on the court, leaving the method of data acquisition and whether specific outputs replicate protected passages as separate issues for the court to decide on a case-by-case basis.
动态正文 · AI 整理
Intelligence Assessment
Aioga 编辑摘要
美国司法部在 OpenAI 与纽约时报的版权诉讼中提交意见书，主张使用受版权文本训练大语言模型一般应属合理使用，并称模型训练具有非凡转换性。
背景分析
司法部以国家安全为由警告，全面许可要求会削弱美国人工智能开发者的竞争力。该意见书仅具建议性质，不约束法院作出裁判。
Aioga 观点
Aioga 判断：这份意见书明确区分模型训练、数据获取方式与具体输出是否复制受保护段落，显示训练用途获得政策支持并不等于相关版权争议已被统一解决。
影响与后续
可能影响：该意见可能为法院审视训练行为提供参考，但不足以预示案件结果，也不代表数据获取或模型输出当然合法；相关问题仍需要法院结合具体情形逐案判断。 后续观察：关注法院是否采纳司法部关于训练转换性与国家安全的论述，以及法院将如何分别审查数据获取方式和具体输出是否复制受保护段落。
Source and Copyright
The readable text on this page was extracted from the public source and organized with attribution, publication time and the original link. Copyright remains with the original author and publisher.
Ingestion channel: Summary aggregation · Source domain: x.com
Source: @rohanpaul_ai)
Original link: Open original source
Aioga archive: Open intelligence page
Content record: social-summary · Updated: 2026-09-02T17:10:11.000Z
API RELAY · DEVELOPER INFRASTRUCTURE
API 中转站
统一接入主流 AI 模型 API，为开发、测试与生产环境提供稳定调用入口。
立即访问 api.w173.com
Scan to open this article