Teaching AIs to make mistakes like kids would help them learn faster

Teaching artificial intelligence to think like children may make them better learners. Kanishk Gandhi and Brenden Lake at New York University found that a common assumption children make while learning, called the mutual exclusivity bias, would make AIs better at learning tasks such as processing language. Mutual exclusivity bias refers to the incorrect assumption that once an object has a name or a label, it can't also have another. "A child will find it difficult to call a …