The artist Trevor Paglen is putting the finishing touches on “The Atlas of Invisible Images,” his latest work examining the troublesome intersection of technology and surveillance. Essentially, a deep dive into how artificial neural networks learn and and perceive images, Paglen built his own deep learning AI and trained it himself to learn how the thing worked — what it saw, how it saw it, and whether that’s a good thing in a world where images are increasingly created by and exclusively for other machines to interpret.
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