HUMHUM-004 — Trust and Acceptance Issues
AI Personalisation Systems Entrench Information Cocoons and Distort Public Awareness
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI-driven content personalisation analyses user behaviour at scale to deliver tailored information, progressively narrowing exposure and reinforcing existing beliefs. Organisations deploying such systems face regulatory scrutiny and reputational risk as societal polarisation and epistemic harm become attributable to algorithmic design choices.
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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