HUMHUM-004 — Trust and Acceptance Issues
AI-Generated Content Indistinguishable from Authentic Material
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
General-purpose AI systems produce synthetic content that cannot be reliably detected, compounding information integrity risks at scale. Boards face exposure to reputational, legal, and operational harm where provenance of content cannot be established.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025) ↗https://airisk.mit.edu/
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