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

Art and Generative AI

This course serves as an experimental laboratory for the fusion of fine art practices and generative technologies. Distinct from commercial design courses, this module encourages students to push the boundaries of “Generative Art” as a distinct medium. Students will explore the poetic, political, and aesthetic possibilities of algorithms, focusing on the collaboration between human intent and machine hallucination to create avant-garde works for galleries and digital platforms.

§ 01 By the end you can
  1. Explore the role of the "prompt" as a new form of artistic notation and poetry
  2. Experiment with multi-modal generation (combining text, image, sound, and motion)
  3. Develop a critical practice around "glitch," "hallucination," and the artifacts of AI
  4. Investigate the concept of "curation as creation" in the age of infinite reproducibility
  5. Produce a cohesive series of generative artworks accompanied by a theoretical framework
§ 02 Sixteen sessions

The whole semester.

  1. 01The Philosophy of Generative Media
  2. 02Prompt Engineering as Creative Writing
  3. 03Style Transfer & Aesthetic Appropriation
  4. 04The Art of the "Seed": Controlling Randomness
  5. 05Custom Models: Training on Personal Art
  6. 06Latent Space Exploration & Interpolation
  7. 07Post-Photography: AI and the Lens
  8. 08 · MidtermMidterm Examination
  9. 09Generative Video & Temporal Consistency
  10. 10Sound & Audio Reactive Visuals
  11. 113D Generative Forms & Sculpture
  12. 12Installation Art: Projecting AI
  13. 13Interactive Generative Systems
  14. 14The NFT & Digital Art Market
  15. 15Studio: Portfolio Development
  16. 16Final Exhibition & Critique

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

Recommended reading
  1. AI Art: Machine Learning, Painting, Mirrors by Joanna Zylinska
  2. Pharmako-AI by K Allado-McDowell
  3. The Creative Act: A Way of Being by Rick Rubin (applied to AI context)
  4. Generative Art: A Practical Guide Using Processing by Matt Pearson
  5. Cultural Analytics by Lev Manovich
More in AI & Digital Arts
Advanced AI Techniques for Creative PracticeThis capstone-level technical course is for students who have mastered basic prompting and wish to push the engine to its limits.
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.
AI, Design, and Immersive ExperiencesThis capstone immersive course merges Virtual Reality (VR) with Artificial Intelligence. Students will learn to create "Smart Environments"—virtual worlds populated by AI agents that can converse, navigate, and react to the user.
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.