OPSOPS-001 — Monitoring and Alerting Inadequacies
Unrepresentative Training Data Produces Systematically Skewed AI Outputs
4/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI models trained on data that fails to reflect the true population embed systematic gaps and distortions into every downstream decision. Boards face liability exposure and operational failure when deployed systems perform reliably in testing but break down across real-world populations.
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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