OPSOPS-001 — Monitoring and Alerting Inadequacies
AI System Performance and Robustness Failures in Pre-Deployment Risk Disclosure
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems lacking validated performance and robustness standards fail under adverse or unexpected inputs, undermining their core operational purpose. Boards face material liability where pre-deployment disclosures do not formally assess these failure modes.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures (Sherman2023) ↗https://airisk.mit.edu/
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