Technique reveals the basis for machine-learning systems' decisions

In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. Now researchers present a new way to train neural networks so that they provide not only predictions and classifications but rationales for their decisions.