HUMHUM-004 — Trust and Acceptance Issues
AI Content Recommendation Algorithms Worsening Online Polarisation
3/5Sector: TechnologyGeography: GlobalStage: OperateIngested: —
Executive Summary
Social media recommendation algorithms are amplifying divisive content at scale, accelerating ideological fragmentation across digital platforms. Boards face mounting reputational and regulatory exposure as AI-driven engagement models attract legislative scrutiny worldwide.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values (Clarke2023) ↗https://airisk.mit.edu/
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