HUMHUM-004 — Trust and Acceptance Issues
Automation Bias: Human Over-Reliance on AI Outputs
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Staff defer uncritically to AI outputs, suppressing independent judgement and allowing model errors to propagate into consequential decisions. Boards face liability exposure and weakened accountability structures where human oversight exists in name only.
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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