A neural network trained to see the world as variations of the artist’s body enacts a process of algorithmic interpretation that contends with a body as a subject of multiplicity. The neural network, with its photographic understanding of the artist, creates a pseudo-autonomous figure unconstrained by physics, biology and time, that is simultaneously one and many. The movements and costumes of this algorithmic entity attempt to answer the question: how does one represent themselves in a data set?
Biography:
Doug Rosman (US) was born in Santa Monica, California. He received his MFA in Art and Technology Studies from the School of the Art Institute of Chicago, and his BA in Interdisciplinary Computing and the Arts from the University of California San Diego. His art practice is rooted in exploring computational technology, which often manifests as interactive installation, immersive environments and real-time performance. He lives in Chicago, IL, and teaches at the School of the Art Institute of Chicago.
