Creativity and Generative AI

3 Credits · Level: Graduate

This year's winner, Rie Kudan, of Japan's Akutagawa Prize, the nation's most prestigious literary honor, drew headlines worldwide when she admitted that she used ChatGPT extensively during her writing process: to generate ideas for character and plot development, and occasionally to write the actual sentences that comprised the critically acclaimed novel. Creatives worldwide are currently grappling with the emergence of generative AI tools — some decrying the use of these models as cheating, and others, like Kudan, arguing that they are a means to unlock their artistic potential. In this course, we face these issues head-on, building an understanding of what is possible with generative AI, and how people can best leverage them in artistic domains. This course provides an overview of generative AI, defining its role and capabilities in creating novel content. The course focuses on the practical applications of generative AI in various creative domains. Students will explore how AI is used to generate visual art, create music, design products, and even write creative literature. The course will showcase a range of case studies and examples where generative AI has been successfully implemented, offering insights into its transformative potential. Students will also engage with the creative process behind generative AI. This involves understanding the human-AI collaboration in creative work, and exploring how artists and designers can guide AI to enhance creativity rather than replace it. Discussions will include the ethical considerations and implications of AI-generated content, particularly regarding originality, copyright, and authorship. We will also examine issues of bias and the future of work as generative AI reshapes the global market for creative content. Students will be introduced to careers in the intersection of AI and creative fields, hearing from guest speakers on different strategies for participating in and benefiting from the generative AI transformation. They will learn the fundamentals of how these models are trained and how they produce creative outputs. Then, they will build on this knowledge to see firsthand where AI shines, where it reaches its current limitations, and how they can use AI to reach their own creative goals. Upon completion of the course, students will have AI-assisted artifacts of their own design, as well as frameworks and processes that they can apply to new technologies still to come.