Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

Deep-learning algorithms suffer from a fundamental problem: They can adopt unwanted biases from the data on which they're trained. In healthcare, this can lead to bad diagnoses and care ...