Espositori 2021

An experimental research in machine-learning that aims to understand how we decide who looks more normal. Participants take a selfie and have to choose from a series of previously recorded participants who looks more normal between pairs of noses, mouths, eyes, and faces. The machine will analyze their decisions and their face and then add them to its algorithmic map of normality.

Mushon Zer-Aviv

Mushon Zer-Aviv is a designer, researcher, educator and media activist based in Tel Aviv. His love/hate relationship with data informs his design work, art pieces, activism, research, teaching, workshops & city life. His current research reimagines the role of friction in technology, media, design and politics. Among Mushons collaborations, he is the CO-founder of a foxy design studio; and multiple government transparency and civic participation initiatives with the Public Knowledge Workshop; Mushon also designed the maps for and led the design of He is an alumni of Eyebeam art + technology center in New York, a senior faculty member at Shenkar College and has previously taught at NYU, Parsons, and Bezalel.

  H.03 (pav. H)
Dati aggiornati il 17/05/2024 - 10.48.22