Mushon Zer-Aviv is a designer, an educator and a media activist based in Tel Aviv. His love/hate relationship with data informs his design work, art pieces, activism, research, lectures, workshops & city life. Mushon is an Eyebeam alumni and studied interactive media at NYU's ITP and visual communication at Bezalel. He teaches digital media as a senior faculty member at Shenkar School of Engineering and Design.
The Normalizing Machine
The Normalizing Machine is an interactive installation presented as an experimental research in machine-learning that identifies and analyzes the image of social normalcy. Each participant is faced with a video line up of previously recorded participants and is asked to point out who looks most normal. The machine analyzes the participant decisions adds it to its’ aggregated algorithmic image of normalcy. The work follows a long and contested history of criminal justice and race, neural networks and the face.