OPSOPS-001 — Monitoring and Alerting Inadequacies
Transport AI Systems Fail on Out-of-Distribution Inputs in Real-World Conditions
4/5Sector: TransportGeography: GlobalStage: OperateIngested: —
Executive Summary
Autonomous transport AI fails when sensor inputs deviate from training data due to lighting variation, physical degradation, or adversarial manipulation. Boards face safety liability and regulatory exposure where robustness testing has not matched operational variability.
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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