Shual

The Turing Normalizing Machine is an experimental research in machine-learning that identifies and analyzes the concept of social normalcy. Each participant is presented with a video line up of 4 previously recorded participants and is asked to point out the most normal-looking of the 4. The person selected is examined by the machine and is added to its algorithmically constructed image of normalcy. The kind participant’s video is then added as a new entry on the database.

Conducted and presented as a scientific experiment TNM challenges the participants to consider the outrageous proposition of algorithmic prejudice.