Confidence thresholds are decision boundaries applied to a model's predicted confidence to determine when to act or withhold action. They are crucial in safety-critical systems, ensuring interventions only occur when predictions are sufficiently reliable, often after post-hoc calibration.
Confidence thresholds are rules that make AI systems act only when they are very sure of their predictions, especially important for safety. They work by checking if the AI's confidence level is high enough, often after adjusting it to be more accurate, to ensure reliable and safe operations.
Decision thresholds, Reliability thresholds, Safety thresholds, Action thresholds
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