OPSOPS-001 — Monitoring and Alerting Inadequacies
AI Model Confidence Miscalibration Produces Unreliable Prediction Certainty
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI models with poor confidence calibration output certainty scores that do not reflect actual accuracy, causing systems to appear decisive when wrong or hesitant when correct. Organisations relying on model confidence thresholds for automated decisions face systematic risk of misplaced trust and flawed operational outcomes.
Domain
Operational Management
Blindspots in monitoring, incident response, performance, scalability, integration, and business continuity.
Source
MIT AI Risk Repository — Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024) ↗https://airisk.mit.edu/
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