HUMHUM-003 — Human-AI Collaboration Design Flaws
AI-Generated Content Undermines User Authenticity and Identity Verification
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Unlabelled AI outputs erode users' ability to distinguish genuine information from synthetic content, whilst realistic deepfakes defeat facial and voice authentication controls. Boards face compounded exposure across fraud liability, regulatory compliance, and public trust as verification infrastructure becomes unreliable.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — AI Safety Governance Framework (TC2602024) ↗https://airisk.mit.edu/
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