MIT Shares How Machine Learning Models Can Make Sense Of Nonsense & How This Could Be A Problem

Scientists at the Massachusetts Institute of Technology have stumbled upon an interesting problem with machine learning and image classification. This problem, if not solved, could be harmless or could be deadly, depending on what the system is being used for. Simply put, a model could look at an image and make a prediction based on information that we humans can't make sense of, and it could be wrong. Image classification is used in both medical diagnostics and autonomous driving. The aim is to train a neural network to understand an image in a similar way that a human does.