HUMHUM-004 — Trust and Acceptance Issues
Generative AI Output Spreads False Information Into Public Ecosystems
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI tools produce inaccurate content that propagates beyond individual users and contaminates shared information environments at scale. Boards face reputational, regulatory, and societal liability as misinformation originating from their AI deployments enters public discourse unchecked.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025) ↗https://airisk.mit.edu/
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