AIBlindspot
← All case studies
GOVGOV-006 — Audit and Assurance Gaps

Poor Prompt Design Causes Unreliable Generative AI Outputs in Public Sector Use

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

Executive Summary

Ambiguous or poorly constructed prompts cause generative AI models to produce errors and misinterpretations, undermining output reliability. Without structured prompt literacy standards, public sector bodies risk flawed decisions based on misunderstood AI responses.

Domain

Governance & Compliance

Blindspots in accountability, regulatory compliance, ethics, risk management, data governance, and audit.

Source

MIT AI Risk Repository — Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration (Nah2023) ↗

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.