Copyright Lawsuits Flood AI Industry

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A wave of copyright lawsuits is targeting AI companies, with authors, artists, and media giants alleging that their creative works are being used to train AI models without permission.

Over the past two years, dozens of copyright lawsuits against AI companies have been filed at a rapid clip. The plaintiffs include individual authors like Sarah Silverman and Ta Nehisi-Coates, visual artists, media companies like The New York Times, and music-industry giants like Universal Music Group. This wide variety of rights holders are alleging that AI companies have used their work to train what are often highly lucrative and powerful AI models in a manner that is tantamount to theft.

AI companies are frequently defending themselves by relying on what’s known as the “fair use” doctrine, arguing that building AI tools should be considered a situation where it’s legal to use copyrighted materials without getting consent or paying compensation to rights holders. (Widely accepted examples of fair use include parody, news reporting, and academic research.) Nearly every major generative AI company has been pulled into this legal fight, including OpenAI, Meta, Microsoft, Google, Anthropic, and Nvidia. WIRED is keeping close tabs on how each of these lawsuits unfold. We’ve created visualizations to help you track and contextualize which companies and rights holders are involved, where the cases have been filed, what they’re alleging, and everything else you need to know. That first case, Thomson Reuters v. Ross Intelligence, is still winding its way through the court system. A trial that was originally scheduled for earlier this year has been indefinitely delayed, and even though the cost of litigation has already put Ross out of business, it’s unclear when it will end. Other cases, like the closely-watched lawsuit filed by The New York Times against OpenAI and Microsoft, are currently in contentious discovery periods, during which both parties are arguing over what information they need to turn over

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