OPSOPS-001 — Monitoring and Alerting Inadequacies
AI System Outputs Collapse Under Minor Input Variation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
An AI system producing wildly different outputs in response to small input changes cannot be relied upon for consistent operational decisions. Boards must treat low robustness as a critical deployment risk, requiring mandatory stress-testing before any production release.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — AI Hazard Management: A Framework for the Systematic Management of Root Causes for AI Risks (Schnitzer2024) ↗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.