OPSOPS-001 — Monitoring and Alerting Inadequacies
Corrupted Training Loop from Undesirable Model Outputs
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Feeding flawed or inappropriate model outputs back into retraining pipelines degrades model integrity and produces unpredictable system behaviour. Boards risk compounding operational failures if governance frameworks lack controls over what data enters the retraining cycle.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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