"Seeing Machines" are imaging technologies that produce and distribute pictures. (1) Google maps, surveillance networks, museum digital archives, QR codes, and facial recognition systems are some examples. Their quantity and reach is vast: more images are being created by these systems today than the combined sum of all images before the year 2000. In 2017, picture production largely happens within automated networks, distributed by computers in a massive flow of data, (and most won't ever be seen by the human eye). This class will explore how artists intervene and subvert Seeing Machines' tools-scripts, programs, automation and other technologies- to systematize, classify and distribute images. Through a set of projects, student-led presentations, readings and discussions, we will understand how Seeing Machines operate and control, and create methods to make artwork in response.