Quantitative Aesthetics: Introduction to Machine Learning and Perceptual Machines for Design

Harvard GSD

This course aims to introduce students to concepts and techniques from Machine Learning and Computer Vision as a way to revisit questions of perception and aesthetics within the context of an AI-mediated world and its implications for creative work.As machines are increasingly used not only to generate images but also to censor, curate, filter, organize and contextualize what can be seen (the distribution of the sensible, as Jacques Rancière would say), these indefatigable systems that are…