OPSOPS-001 — Monitoring and Alerting Inadequacies
Model Overfitting Degrades Operational AI Reliability
4/5Sector: TechnologyGeography: GlobalStage: DevelopIngested: —
Executive Summary
AI systems that overfit training data fail to generalise, producing unreliable outputs when deployed against real-world conditions. Without systematic hazard metrics and mitigation controls, boards carry unquantified operational risk from technically deficient models.
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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