AIBlindspot
← All case studies
HUMHUM-004 — Trust and Acceptance Issues

AI Assistants Breeding Uncritical Trust and Misinformation Vulnerability

4/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

Users develop misplaced competence trust in advanced AI assistants, accepting outputs uncritically and becoming more susceptible to misinformation. Boards face reputational and liability exposure when AI-enabled misinformation causes demonstrable harm to employees, customers, or public discourse.

Domain

Human Factors

Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.

Source

MIT AI Risk Repository — The Ethics of Advanced AI Assistants (Gabriel2024) ↗

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.