The newest artist is AI. As the landscape for creating and displaying AI-based artworks is fast-paced and ever-evolving, what are the common tools and languages that will be necessary to conserve and re-exhibit these works into the future? In this class, students will work on case studies in collaboration with a contemporary artist and their studio, focusing on artworks created using AI.  Students will learn conceptual and practical frameworks of conservation as applied in this field through readings, class discussion and guest lectures, along with lab sessions to learn and apply skills to handle these artworks. Throughout the semester students will develop documentation and present conservation concepts for these fragile artworks.

Previous programming experience is highly recommended. Please contact instructors for  evaluation and guidance related to your current programming expertise related to this class.

Instructors: Thiago Hersan, Deena Engel