Hallucinations

Hallucinations refer to instances where AI language models generate false, misleading, or fabricated information that sounds plausible but has no basis in fact or training data. This poses significant governance risks because organizations relying on AI systems for decision-making, compliance documentation, or customer-facing communications could inadvertently spread misinformation or violate regulatory requirements. Detecting, mitigating, and disclosing hallucination risks has become a critical component of responsible AI deployment and enterprise risk management frameworks.

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EnforcementChina2026-09-14

China's Supreme Court Makes Deepfakes and AI Hallucinations Judicially Actionable

China's Supreme People's Court issued judicial guidance establishing that deepfakes, voice clones, and certain AI hallucinations can trigger criminal or civil liability when they spread false information or damage reputations. The guidance specifically identifies provider inaction after harm reports as an aggravating factor. Enterprises serving Chinese users through AI-generated content pipelines now face enforceable legal exposure, not just regulatory risk.

deepfakes hallucinations China content moderation AI liability voice cloning judicial guidance