HUMHUM-004 — Trust and Acceptance Issues
AI Systems Delivering Unqualified Specialist Advice Across Finance, Health, Law and Elections
4/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models that issue financial, medical, legal or electoral guidance without disclaimers expose users to material harm and undermine informed civic participation. Organisations deploying such systems face regulatory liability and reputational risk where outputs are treated as authoritative professional advice.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024) ↗https://airisk.mit.edu/
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