Test system finds thousands of errors in driverless car software waiting to happen

More and more of the world's computer systems incorporate neural networks - artificial-intelligence driven systems that can "learn" how to do something without anyone - including their creators - understanding exactly how they're doing it. This has caused some concern, especially in fields where safety is critical. These "black box" systems hide their inner workings, so we don't actually know when errors are happening - only when they manifest in the real world. And that can be in very rare situations that don't get caught during a normal testing process. Even when we do catch them, the inscrutable inner workings of deep learning systems mean that these errors can be hard to fix because we don't know exactly what caused them. All we can do is give the system negative feedback and keep an eye on the problem.