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AI & Digital Arts · MS elective · 3 credit hours · 16 sessions

Artificial Intelligence and Art

This course explores the profound historical and theoretical relationship between automation and artistic expression. Unlike technique-heavy studio courses, this module balances theory with practice, examining the history of computer art, the philosophy of creativity, and the collaborative potential of human-machine systems. Students will engage in critical analysis of AI artworks while producing their own conceptual pieces that challenge the boundaries of authorship.

§ 01 By the end you can
  1. Trace the history of algorithmic art from early cybernetics to modern Generative AI
  2. Analyze the philosophical questions regarding authorship, originality, and creativity in AI art
  3. Experiment with various AI approaches (Style Transfer, GANs, Diffusion) as artistic mediums
  4. Critique major works and exhibitions in the field of AI and computational art
  5. Develop a conceptual art project that comments on the relationship between technology and society
§ 02 Sixteen sessions

The whole semester.

  1. 01Pre-History: Automata and Weaving Looms
  2. 02Early Computer Art: The Plotter Era
  3. 03Cybernetics and Systems Aesthetics
  4. 04Algorithms as Art: Sol LeWitt to Code
  5. 05The Death of the Author? Philosophical Debate
  6. 06AI Hallucinations as Surrealism
  7. 07Human-in-the-Loop: Cyborg Art
  8. 08 · MidtermMidterm Examination
  9. 09The Rise of GANs (Generative Adversarial Networks)
  10. 10Neural Style Transfer & Glitch Aesthetics
  11. 11Diffusion Models: The Txt2Img Revolution
  12. 12AI in Music and Performance Art
  13. 13Curation: Exhibiting AI Art
  14. 14The Art Market: NFTs and AI
  15. 15Post-Humanism Aesthetics
  16. 16Final Exhibition & Artist Statement

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

Recommended reading
  1. Art in the Age of Machine Learning by Sofian Audry
  2. The Work of Art in the Age of Mechanical Reproduction by Walter Benjamin
  3. More Than Human (Barbican Center Exhibition Catalogue)
  4. Programmed: Rules, Codes, and Choreographies in Art, 1965–2018 by Christiane Paul
  5. Machine Visions: Artificial Intelligence, Society, and Visual Culture by Vladan Joler
More in AI & Digital Arts
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AI as Co-CreatorThis course challenges the "Man vs. Machine" narrative, proposing instead a symbiotic relationship where Artificial Intelligence acts as a collaborator.
AI as Creative PartnerThis interdisciplinary studio course reframes Artificial Intelligence from a "tool" to a "collaborator." It focuses on the psychological and workflow dynamics of working with a non-human intelligence.
AI, Code, & Art (AI & Art track)Designed for the technical artist, this advanced track dives under the hood of generative tools. While other courses focus on using interface-based tools (like Midjourney), this course focuses on programming them.
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AI-Driven Fashion DesignThis specialized course explores the intersection of high fashion and artificial intelligence. Students will learn to use generative tools to predict trends, design textiles, and visualize garments without the need for physical waste.