HUMHUM-003 — Human-AI Collaboration Design Flaws
LLM Misinformation Generation Identified as Measurable Evaluation Risk
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Benchmarking research confirms that large language models can be systematically assessed for their propensity to generate false or misleading content. Boards must treat misinformation generation as a quantifiable and reportable risk within AI governance frameworks.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Cataloguing LLM Evaluations (InfoComm2023) ↗https://airisk.mit.edu/
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