OPSOPS-001 — Monitoring and Alerting Inadequacies
Synthetic Training Data Misalignment Causes Unreliable Operational AI Behaviour
3/5Sector: OtherGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI systems trained on synthetic data that insufficiently resembles real operational data fail to generalise, producing unreliable outputs in deployment. Boards face unquantified operational risk when synthetic data quality is not formally validated against live data distributions prior to system approval.
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/
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