OPSOPS-001 — Monitoring and Alerting Inadequacies
AI Model Failures Under Abnormal Inputs Create Operational Unreliability
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models degrade or fail when inputs are corrupted by noise, attacks, or system faults, producing unstable and error-prone outputs in live operations. Boards face liability and continuity risk when deployed systems cannot maintain acceptable performance under real-world conditions.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions (Saghiri2022) ↗https://airisk.mit.edu/
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