Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output. The advance could enhance safety and efficiency in AI-assisted decision making, with applications ranging from medical diagnosis to autonomous driving.
A neural network learns when it should not be trusted: A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
