HUMHUM-003 — Human-AI Collaboration Design Flaws
LLM Hallucination Produces Unintentional Factual Misinformation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models generate confidently stated but factually incorrect information due to inherent limitations in their knowledge and reasoning capabilities. Organisations deploying LLMs without robust fact-verification controls face reputational, legal, and operational exposure from undetected errors at scale.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024) ↗https://airisk.mit.edu/
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