Google’s project Quick, Draw! trains a neural network to recognize the meaning of scribbles. The foundation lies in a giant database of doodling drawn by people all over the world. What happens if one extracts these scribbles from the database and has a robotic drawing machine overlay hundreds of them? Is the resulting image an anthropological study, or a piece of art? And does a pattern emerge that reflects a universal interpretation of form or is the result nothing more than an abstraction?
Biographies
Maria Bürger completed her bachelor’s degree in communication design at the University of Applied Sciences Berlin in 2020. Since then, she has been working at the German Theatre Technical Association as head of communications and participating in the research project “Im/material theatre spaces” on the use of VR and AR in the theatre industry.
Lea Gleisberg studied Communication Design (BA) and System Design (MA) at University of Applied Sciences Berlin and is a student research assistant at the National Institute for Consumer Research (SIFO) in Oslo.
Jana studied design at University of Applied Sciences Berlin. Her course work evolved around AI-driven technology and its use in society from a feminist standpoint. She now works as a Service Designer on process optimization in the public sector. Her body of work combines her interest in new technologies, as well as a human-first approach to designing digital processes.
