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

AI as Co-Creator

This course challenges the “Man vs. Machine” narrative, proposing instead a symbiotic relationship where Artificial Intelligence acts as a collaborator. Students will explore how generative AI tools (Midjourney, ChatGPT, Runway) can amplify human creativity rather than replace it. The curriculum focuses on “Cyborg Creativity”—integrating AI into the ideation, prototyping, and refinement phases of art, design, and writing.

§ 01 By the end you can
  1. Master the workflow of "Co-Creation": Human ideation + AI generation + Human curation
  2. Utilize Large Language Models (LLMs) for brainstorming and narrative structure
  3. Apply Generative Adversarial Networks (GANs) for visual prototyping and variation
  4. Navigate the copyright and ethical gray areas of AI-assisted art
  5. Develop a personal "AI Stack" of tools tailored to specific creative workflows
§ 02 Sixteen sessions

The whole semester.

  1. 01The History of Computational Creativity
  2. 02Prompt Engineering as a Creative Skill
  3. 03The "Centaur" Model: Human + AI Synergy
  4. 04Visual Ideation: Midjourney & Stable Diffusion
  5. 05Iterative Design: Refining AI Outputs
  6. 06In-Painting & Out-Painting: Extending Creativity
  7. 07Custom Models: Training AI on Your Style
  8. 08 · MidtermMidterm Examination
  9. 09AI for Writers: Plotting & Character Gen
  10. 10AI for Designers: Rapid Prototyping UI/UX
  11. 11AI for Musicians: Composition & Sound Design
  12. 12Curation: The Human's New Role
  13. 13Ethics: Bias, Plagiarism, & Ownership
  14. 14The Legal Landscape: Copyrighting AI Art
  15. 15The Future of Work: The AI-Augmented Artist
  16. 16Final Project: The Hybrid Creative Portfolio

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

§ 03 Final project

Final Project: The Hybrid Creative Portfolio

How it’s judged

Recommended reading
  1. The Age of AI: And Our Human Future by Henry Kissinger, Eric Schmidt, and Daniel Huttenlocher
  2. Co-Intelligence: Living and Working with AI by Ethan Mollick
  3. Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
  4. Machine Art in the Twentieth Century by Andreas Broeckmann
  5. Prompt by Evan Puschak (and various online Prompt Engineering guides)
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 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.
AI-Empowered CreativityThis course focuses on the cognitive and procedural aspects of creativity, exploring how Artificial Intelligence can serve as a catalyst for human imagination.