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Sexism is so deeply ingrained in the way we think about the world, we've actually passed it on to our computers, according to a new University of Virginia and University of Washington study. Artificial intelligence is more likely to label people who are cooking, shopping, and cleaning as women and people who are playing sports, coaching, and shooting as men. UVA computer science professor Vicente Ordóñez got the idea for the experiment when he noticed that his image-recognition software was associating photos of kitchens with women. After training software using two photo collections that researchers use to create image-recognition software, including one supported by Facebook and Microsoft, he and his colleagues found that not only do these collections contain gender bias--they multiply that bias when they pass it on to the software. The program these photo sets produced actually labeled a man a "woman" because he was standing by a stove.