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The Decoder · 2026/7/27 17:55:24
Delhi High Court hands OpenAI a win by rejecting major Indian news agency's copyright injunction
AI 中文解读
印度德里高等法院近日驳回印度最大新闻机构ANI对OpenAI的版权禁令请求,这一裁决被行业视为AI训练在版权争议中的重要胜利。法院认为ANI未能证明ChatGPT逐字复制其文章——ANI提交的证据中,文章发布时间均晚于OpenAI模型训练数据的截止日期,且即使用户刻意要求“精确复制”,也没能给出任何完全一致的副本。法官初步认定,ChatGPT生成内容的相似性很可能来自实时检索功能(RAG),而非模型对训练数据的记忆,这更像搜索引擎而非盗版。同时,新闻中的事实本身不受版权保护,OpenAI和新闻机构分属不同领域,并未对ANI造成实际经济损失。这一判例对普通人意味着:日常使用ChatGPT等AI工具获取信息不会受到突然的法律限制,你可以继续放心问它新闻摘要、编译百科知识。对内容创作者而言,AI对公开信息的合理使用边界更清晰了——只要不是刻意诱导模型原封不动“背”文章,就不构成侵权。长远看,这项裁决为AI训练数据的合法性提供了重要参考,让科技公司不必因每个版权投诉而暂停服务,也激励行业在数据使用规则上更透明。
Delhi High Court hands OpenAI a win by rejecting major Indian news agency's copyright injunction
Matthias Bastian
View the LinkedIn Profile of Matthias Bastian
Jul 27, 2026
Key Points
The Delhi High Court has rejected Indian news agency ANI's request for a preliminary injunction against OpenAI over copyright infringement.
ANI couldn't prove that ChatGPT reproduced its articles verbatim. The articles it submitted as evidence were published after the models had already been trained.
The judge found no economic harm to ANI because OpenAI and the news agency operate in different sectors, and affirmed the public benefit of language models for education, research, and accessibility.
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In an interim ruling, the Delhi High Court rejected a request by Indian news agency Asian News International (ANI) for a preliminary injunction against OpenAI.
ANI, one of India's largest news agencies, sued OpenAI over its use of copyrighted material for AI training and in ChatGPT's outputs. Judge Amit Bansal denied the requested relief on both claims.
The decision addresses memorization, Retrieval Augmented Generation (RAG), and the legal status of AI training. AI copyright law expert Andres Guadamuz calls the ruling an important early win for OpenAI.Ad
ANI's evidence undermined its copyright claims
ANI submitted several ChatGPT outputs to the court that it claimed were substantial copies of its articles. The move backfired because OpenAI showed that the models used, GPT-4 and GPT-4o, were trained on data from April 2022 and April 2024. The articles ANI cited were mostly from August and September 2024, so they couldn't have been part of the training data.AdDEC_D_Incontent-1
The judge's preliminary view was that the similarities came from RAG, which lets a language model retrieve online information in real time, much like a search engine. ANI hadn't addressed RAG in its filing, so the court couldn't make a final ruling on the issue. The judge said RAG-based outputs could qualify as "communication to the public," a question the court will address in the main proceedings.
ANI's case got weaker from there. The agency had used adversarial prompts, explicitly telling the model to reproduce articles "exactly." Even so, ANI couldn't produce a single verbatim copy. The judge found that facts in news articles in general aren't copyrightable and that reproducing topics and headlines didn't amount to direct competition with ANI in this case.Ad
The evidence also didn't support ANI's claim that OpenAI permanently stores training data in its models and can reproduce the agency's work verbatim on demand. But the court will revisit that question in the main proceedings.
Court tentatively treats AI training as fair use
ANI also failed to show that copying its work for AI training amounted to copyright infringement. Both parties agreed that OpenAI had used ANI content during training, but OpenAI argued that the material made up a tiny share of the overall dataset and that the model extracted only non-expressive elements such as grammar, syntax, and language patterns.AdDEC_D_Incontent-2
The judge looked at exceptions under Indian copyright law and relied on a clause covering "private or personal use, including research," reading "research" broadly enough to cover AI training.Ad
For that exception to hold, the judge set conditions. Training copies must come from lawful sources, not shadow libraries or paywalled sites accessed without permission. OpenAI also never made the training copies public and processed them only internally. Guadamuz says this is the first time a court has explicitly found that AI training falls under a private use exception.
The court ran a three-part fairness test and side
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