HUMHUM-003 — Human-AI Collaboration Design Flaws
Large Language Model Factual Inaccuracy in Generated Content
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
LLMs produce outputs containing incorrect factual claims, presenting false information as authoritative. Organisations relying on AI-generated content without verification processes face reputational, legal, and operational exposure.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024) ↗https://airisk.mit.edu/
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