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Hidden Details of AI Training Data Set Creates Dilemma for Copyright Holders’ Infringement Claims

By Michelle Morgante
August 31, 2025

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’s a dilemma that surfaced in late August when a federal judge 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. District Judge Charles Breyer on Aug. 19 dismissed the direct infringement claim against Databricks and its subsidiary MosaicML, finding the allegation overly speculative and vague.

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