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Wikimedia Foundation seeks middle path in AI copyright litigation

The nonprofit behind Wikipedia is urging courts to allow AI training on copyrighted data while banning chatbots from reproducing that content verbatim.

1:25-md-03143Case number in Southern District of New York

The short version

Why it matters

This position seeks to protect the development of AI tools for editors while ensuring that creators are not replaced by bots that copy their work. It highlights the tension between using data to learn and using data to compete.

A nuanced legal position

The Wikimedia Foundation has officially entered the legal fray regarding how artificial intelligence interacts with copyrighted material. In a recent amicus brief, the nonprofit behind Wikipedia proposed a specific middle path for the courts to follow. This move places the organization in a unique position where it acknowledges parts of the arguments made by both AI developers and content publishers.

The Foundation is participating in a consolidated copyright infringement case in the Southern District of New York. This specific litigation involves major tech companies like OpenAI and Microsoft facing lawsuits from various publishers, including The New York Times. Because the case is so broad, Wikimedia's intervention aims to clarify the specific stages of the AI pipeline that should be subject to different rules.

By taking this stance, Wikimedia is essentially telling both sides that they are only partially correct. They are not seeking a total victory for one side but are instead trying to carve out a legal framework that protects the ecosystem of the open web. As Crypto Briefing reported, the goal is to find a balance that allows for technological progress without stripping creators of their rights.

Training vs. Output

The core of Wikimedia's argument rests on the distinction between how a model learns and how it communicates with a user. They define the first stage as training, which involves a model ingesting massive volumes of text to identify patterns in human language. The Foundation argues that this process of learning from copyrighted works should qualify as fair use.

Fair use is a legal doctrine that allows for the use of protected material without permission under specific conditions. These conditions typically include instances where the material is used for research, commentary, or transformed into something entirely new. Wikimedia believes that the way large language models ingest data to learn these patterns fits within these established legal boundaries.

The second stage of the pipeline is the output, which occurs when a chatbot provides a direct answer to a user's prompt. Wikimedia draws a much firmer line here, arguing that a chatbot spitting out protected work verbatim to a user is a different matter. They do not believe that the behavior of reproducing content should be granted the same legal protections as the initial training process.

Risks to the open web

The Foundation expresses significant concern that an all-or-nothing ruling could damage the health of the open web. If the court decides that the act of training itself is a copyright infringement, it could create a massive barrier for developers. This would potentially choke off the creation of AI-based tools that volunteer editors already use to maintain the sprawling Wikipedia encyclopedia.

On the other hand, Wikimedia warns of a different danger if the court favors AI outputs that include verbatim reproductions. They argue that if anything posted publicly can be instantly absorbed and served back by a chatbot without limits, the incentive to contribute knowledge disappears. Projects like Wikipedia rely on the voluntary choice of people to share their information freely with the public.

If the legal system makes it too easy for bots to serve up content without regard for the original source, the Foundation fears the public will stop sharing. They believe that a ruling favoring these outputs could discourage the very behavior that keeps the internet populated with useful information. The goal is to ensure that the open web remains a place where people feel motivated to contribute their work.

A crowded courtroom

Wikimedia is not the only entity weighing in on this complex legal battle. The court is currently reviewing a variety of amicus briefs from different stakeholders, including publisher groups and various labor unions. These groups are all attempting to influence how the court defines the boundaries of fair use in the age of generative AI.

The Association of American Publishers has already filed briefs that oppose broad fair-use protections for AI developers. These publishers are concerned about the unauthorized use of their articles to build commercial products. This highlights the ongoing tension between the needs of content creators and the goals of the technology companies seeking to build more capable models.

The US government has also expressed interest in the outcome of this litigation. In September 2026, it filed a statement of interest that supported fair use for the training of AI models. Because this case is so high-profile, the final decision will likely have a lasting impact on how AI companies operate and how publishers protect their intellectual property.

What to watch

Try it

Look up the case number 1:25-md-03143 in the Southern District of New York to see other filings in this consolidated copyright suit.

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First reported by Crypto Briefing · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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