HUMHUM-004 — Trust and Acceptance Issues
Uncalibrated User Trust in Advanced AI Assistants
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI assistants that inspire disproportionate user trust create material risks of over-reliance, manipulation, and harm when outputs are wrong or misused. Boards must govern trust calibration explicitly, or accept liability for foreseeable failures in user decision-making.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024) ↗https://airisk.mit.edu/
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