Machines Learning Culture

Recent interdisciplinary explorations, integrating computer science, math, the digital humanities, and the arts, point to the utilitarian and expressive capabilities of machine-learning approaches in creating work with diverse appeal. These initiatives include research within the relatively traditional domain of historical art analysis, a growing collection of body-tracking work using machine learning in the background, and a variety of provocative art installations that place algorithmic computing front and center. While these projects tackle their subject at varying levels of scale and depth and in different contexts, each contributes to building the public discourse about the impact, role, and reach of machine learning in our lives.