Mateus Molina

Connecting Uncertainty Quantification to Safety Engineering: Uncertainty Gate Framework for Safe ML Decision Making

Deploying Machine Learning (ML) models in safety-critical domains requires connecting their behavior to safety engineering standards such as IEC 61508. These standards focus on mitigating systematic failures in software, yet ML models also exhibit failures that are better treated as random and thus fall outside this sc...