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Discovery Block In Authors’ Direct Infringement Claim Against Mosaic AI Program
How are copyright holders to prove their works were used to train AI models if the details about the vast data sets used for such training are kept secret? That dilemma surfaced when a California federal judge recently dismissed a claim of direct infringement raised by a group of authors.
In a class action suit led by novelist Stewart O’Nan and other writers, U.S. Northern District of California Judge Charles Breyer dismissed the direct infringement claim against Databricks and its subsidiary MosaicML, finding the allegation overly speculative and vague. (The complaint also alleges vicarious infringement.) In re Mosaic LLM Litigation, 24-cv-01451.
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