HUMHUM-003 — Human-AI Collaboration Design Flaws
AI model bias shown to persist in user decision-making after system use ends
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Exposure to biased AI outputs alters user judgement in ways that endure beyond the interaction itself, embedding distorted reasoning into subsequent decisions. Organisations deploying AI cannot treat bias as a contained, in-system risk; liability and reputational exposure extend into downstream human behaviour.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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