Professor
Using AI to Expand Creativity
What You'll Learn
- Explore the fundamental connection between AI and human creative expression
5 Modules
5 Hours
1 hr per module (approx.)
Rating
About Using AI to Expand Creativity
“Using AI to Expand Creativity” encourages you to think deeply about AI and its relationship to the essential humanity of creative expression. With the rapid adoption, growth, and development of contemporary AI tools, we believe teaching you how to think about this fundamental dynamic will prepare you for an unpredictable future. This course features instructor-led discussions of the history of AI's implementation in twentieth and twenty-first-century art and a contemplation of technology's basic impact on creative practice. Guest lectures also feature experts Brian Miller, Brian Gogan, Julie Zhu, and Kelly Hoppenjans, who will discuss experimental uses of AI tools, including AI-powered robotic musical performance. As the final course in this three-course series, you will engage with work from the previous two courses to deliver a cumulative experience that will transform your future engagement with AI tools.
This is the third course in “AI for Creative Work,” a series exploring how artificial intelligence can enhance the work of creatives.
Skills You'll Gain
- Artificial Intelligence
- Creative Thinking
- Creativity
- Generative Artificial Intelligence
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Using AI to Expand Creativity, part of the AI for Creative Work short course series. This course explores how contemporary artificial intelligence tools intersect with creative practice, helping you think critically about collaboration, experimentation, and ethical use of AI. You will examine historical and emerging perspectives on AI while learning how these tools can amplify, rather than replace, human creativity across disciplines.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: Introduction to the Course
- Video: Welcome to the Course
- Reading: Course Syllabus
- Reading: Help Us Learn About You!
- Discussion Prompt: Introduce Yourself
Module 2: AI and Thinking
- Reading: Course Introduction
- Video: AI and Deeper Thinking
- App Item: Reflection on AI and Tasks
- Video: AI and Artistic Thinking
Module 3: Experimental Expansions of Collaboration Using AI
- Video: Historical Overview of Experimental Expansions
- Reading: Meet Our Guests
- Video: Jazz with Robots: AI and Improvisation
- Video: Inviting AI into the Loop
- Video: Voice and AI: Creativity and Ethical Considerations
- Video: Deep Drawing
- Video: Reflection on AI's Relationship with Human Expression
- App Item: Reflection on AI, Your Work, and New Artistic Disciplines
- Video: Examples of Collaboration
- App Item: Reflection on AI and Collaboration in Your Work
Module 4: Impact of Technology on Creative Practice
- Video: Impact of Technology on Creative Practice
- App Item: Affirmation Statement
- Reading: Closing Remarks
- Reading: Post-Survey
Grading Policy
Learners are evaluated through knowledge checks and course integrity requirements designed to assess understanding of key concepts and responsible participation. The course grade is based on a knowledge check worth 50%, and an affirmation statement and honor code quiz worth 50%.
Lecturer
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
Specialists in any creative discipline, creative-adjacent workers, such as marketers, and directors of creatives can benefit from this series.
