Since the 1990s, Jason Salavon's practice has explored the dynamic relationship between computational technology and visual culture. His work spans both data-driven art, transforming vast cultural datasets into compelling visual forms, and generative art, using custom algorithms to create original imagery. His pieces, held in collections such as the Metropolitan Museum of Art and the Museum of Modern Art, uncover hidden patterns in popular culture and human behavior. In a recent turn, Salavon has published computer science papers on novel AI models and is currently investigating the creative potential of AI in artistic processes. Salavon is Associate Professor in the Department of Visual Arts at the University of Chicago.
Presentation