HUMHUM-004 — Trust and Acceptance Issues
AI Personalisation Entrenches Bias and Fragments Public Epistemic Commons
4/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —
Executive Summary
AI assistants optimised for user preferences risk amplifying confirmation bias and fracturing shared civic reality through ideologically tailored outputs. Governments deploying or permitting such systems face democratic accountability risks as citizens increasingly defer to partial AI-mediated worldviews.
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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