 In machine learning, one major difficulty is that machines can develop racist and sexist patterns (for several examples, see Crawford 2016). The problem is often that engineers input a biased set of images (such as a set of images that include too many white people) into the machine, from which the machine builds its model (Crawford 2016). This suggests a potential corresponding source of bias in human perceptual learning, based on the inputs that humans receive through media. 