Artificial intelligence may be failing thanks to human error according to a new study. That's because data AI models use to learn how to identify images is not always correct to start with. The problem affects neural networks, which are designed to work in a similar way to the human brain, considering multiple possibilities at the same time. The idea is to get the benefits of human thought but with the speed and reliability of computers. In principle, training these AI models is a straightforward process. Rather than humans creating a set of rules for the models to follow, they simply give ... (view more)
