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In the art AI, one of these roles is played by a generator network, which creates images. The other is played by a discriminator network, which was trained on 81,500 paintings to tell the difference between images we would class as artworks and those we wouldn't – such as a photo or diagram, say. "You want to have something really creative and striking – but at the same time not go too far and make something that isn't aesthetically pleasing," says team member Ahmed Elgammal at Rutgers University. Once the AI had produced a series of images, members of the public were asked to judge them alongside paintings by people in an online survey, without knowing which were the AI's work.