In November 2016, Google released a cute little game called Quick, Draw! on its AI Experiments website, where it showcases fun or unusual AI experiments for consumers. Quick, Draw! challenged you to draw–in 20 seconds or less–items ranging from tennis rackets and wine glasses to yoga and the Mona Lisa, all for the purpose of advancing machine learning research.
Since then, 15 million people have generated 50 million drawings–what Google is calling “the world’s largest doodling data set”–that are now available for researchers, artists, and designers to use in training algorithms to do things like distinguish a scribble of a boomerang from a doodle of an elbow.
…certain objects seem to share certain unalienable details.
An image of an old-fashioned, antennaed TV is far more visually dynamic and easier to understand than a drawing of the flat, nondescript boxes that serve as televisions in many households today.
Maybe machine learning algorithms will only learn to recognize drawings of 1950s televisions as a result.
If AIs learn from us, and the large majority of us represent ideas in the same way, what will happen to creativity when AI will start drawing?