Why AI confidence scores need uncertainty assessment

Overview

Using autonomous-vehicle object recognition as an example, Maximilian Henne explains why high AI confidence does not guarantee a correct prediction. The article discusses calibration, adversarial inputs and cases absent from the training data, then outlines research on uncertainty information to help a safety system assess prediction reliability.