The Normalizing Machine is an interactive installation presented as an experimental research in machine-learning. It aims to identify and analyze the image of social normalcy. Each participant is asked to point out who looks most normal from a line up of previously recorded participants. The machine analyzes the participant decisions and adds them to its’ aggregated algorithmic image of normalcy.
Collaboration with Mushon Zer-Aviv