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

AI Model Deployed Outside Its Intended Purpose

3/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

Organisations risk systematic failure when AI models are applied to tasks beyond their original design parameters. Boards must enforce strict deployment governance to prevent liability exposure and reputational harm from misapplied systems.

Domain

Human Factors

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

Source

MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗

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.