SELF(ENCODED)

2022
machine vision camera, screens, bespoke software



As you enter this recursive conversation with the machine, your facial features feed the loop with new data, reflected back as a fragmented array of frames, revealing how the machine processes the incoming stream of information through different layers of encoding.

In the same way our brain filters what we see and only remembers what it deems important, the machine compresses visual information, disregarding data redundancy in a dogmatic pursuit of efficiency. We expose the material data, shedding layers of resolution, levels of recognition, from pixels to language. When does the loss of information render the signal illegible for the human? When does it become illegible for the machine?





By Martin Juras, Hind Al Saad, & Levi Hammett