HUMHUM-003 — Human-AI Collaboration Design Flaws
Government LLMs Give Outdated or Policy-Misaligned Answers as World Facts and Norms Shift
4/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models deployed in government services systematically produce stale or policy-violating outputs as factual knowledge and content standards evolve beyond their training data. Departments relying on static LLM deployments face legal exposure and reputational risk from advice that no longer reflects current law, policy, or community standards.
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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