HUMHUM-003 — Human-AI Collaboration Design Flaws
Algorithmic Systems Spreading Mis- and Disinformation to Low-Literacy Users
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Generative AI and recommender systems systematically distort information environments, exploiting users who lack the literacy to recognise algorithmic curation. Boards face reputational and regulatory exposure where deployment of such systems contributes to measurable public misinformation harms.
Domain
Human Factors
Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.
Source
MIT AI Risk Repository — Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (Shelby2023) ↗https://airisk.mit.edu/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.