Artificial Intelligence Neural Network Learns When It Should Not Be Trusted

MIT 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. A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes. Increasingly, artificial intelligence systems known as deep learning neural networks are used to inform decisions vital to human health and safety, such as in autonomous driving or medical diagnosis. These networks are good at recognizing patterns in large, complex datasets to aid in decision-making.