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25201 : Art and Machine Intelligence

Description: Artists have long used autonomous processes to aid in the creation of their work. From 18th century parlor games to contemporary visual culture, creators have applied stochastic methods, automation, and simulation to generate music, text, and imagery. In the last five years, as machine learning has matured into broadly applicable artificial intelligence, artists have turned towards neural networks as a new frontier for creative practice. This studio course will explore the history and uses of autonomous creative tools and focus, more specifically, on leading edge artistic applications of AI. Students will receive exposure to a breadth of methods in this domain and produce multiple projects engaged with these topics. Software development experience is not required, though it may be useful.

Instructor(s): Jason Salavon

Offered: Winter 2023

Category: Elective

Cluster(s): Creative Computing