OPSOPS-001 — Monitoring and Alerting Inadequacies
Machine Learning Algorithm Selection Poses Systemic Deployment Risk
4/5Sector: TechnologyGeography: GlobalStage: DevelopIngested: —
Executive Summary
Inappropriate algorithm choice, model architecture, or optimisation technique can render an ML system unfit for its intended application. Poor technical selection decisions upstream embed structural risk that is difficult to detect or remediate post-deployment.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — The Risks of Machine Learning Systems (Tan2022) ↗https://airisk.mit.edu/
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