Your question is Perception Uncertainty Handling. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you handle uncertainty in perception systems?
Describe a practical machine learning approach for estimating predictive uncertainty, distinguishing model uncertainty from observation noise, and validating whether confidence scores are calibrated. Explain how uncertainty should affect downstream behavior, including abstention or escalation when the model is unsure. Address data splitting, model choice, evaluation metrics, calibration, distribution shift, and production monitoring.
