Litigation

Litigation in AI governance refers to legal disputes and lawsuits involving AI systems, including cases addressing algorithmic bias, data privacy violations, intellectual property claims, and liability for AI-driven decisions. These cases establish important precedents that shape regulatory expectations and influence how organizations design, deploy, and oversee AI systems. Understanding litigation trends helps enterprises anticipate legal risks, comply with emerging standards, and avoid costly disputes over AI accountability and fairness.

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EnforcementUS2026-09-01

EFF Fights 'Market Dilution' Theory That Would End Fair Use for AI Training

The Electronic Frontier Foundation has filed amicus briefs in Concord Music Group v. Anthropic and In re Mosaic LLM Litigation, urging courts to reject a copyright liability theory that would allow rightsholders to block AI training on any work that competes with their existing markets. The EFF argues that accepting this 'market dilution' theory would effectively gut fair use doctrine as a permissible basis for training data ingestion. Enterprise compliance teams whose training data programs rely on fair use as a legal foundation should treat both cases as active, high-priority litigation risk.

Anthropic copyright AI training data fair use litigation training data provenance intellectual property US AI Regulation