HUMHUM-003 — Human-AI Collaboration Design Flaws
Generative AI Hallucination Produces Misleading Outputs
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models systematically generate plausible but false or nonsensical content, presenting it with unwarranted confidence. Organisations deploying these systems without robust output verification face material liability and reputational harm from decisions made on fabricated information.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Towards Safer Generative Language Models: A Survey on Safety Risks, Evaluations, and Improvements (Deng2023) ↗https://airisk.mit.edu/
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