Generative Sound: Using AI for Musical Creativity
Explore what it means to make music with AI—from creativity and authenticity to consent, credit, and ownership—through the lens of a working electronic musician.
Course Information
Certificate Track
About this Course
Discover the foundations of making music with AI, draws from a conversation with Portrait XO, a successful electronic musician based in Berlin. You’ll explore the ethics of how AI tools are built and used; contextualize AI within a long history of musical instruments, electronic production, and listening spaces; and use sampling as a lens for thinking about creativity, credit, and ownership.
The course pulls these threads into three connected frameworks—instrument and context, sampling, and learning and trust—to give you a durable way to evaluate today's AI music tools and whatever comes next.
Generative Sound: Using AI for Music Creativity is one of the vertical courses in Universal AI, a self-paced program designed to help you go from beginner to AI authority—no coding or technical skills required.
What you'll learn
- Explain how a working musician conceives of creativity and authenticity with AI, including why the consent behind training data matters as much as the sound of the output
- Situate AI within the longer history of musical instruments, electronic production, and listening spaces, rather than treating it as a clean break from the past
- Compare how sampling has been treated across music and text—from folk and classical to hip-hop and books—to judge what counts as "original" and when learning from others becomes exploitation
- Apply three core frameworks—instrument and context, sampling, and learning and trust—to evaluate new AI music tools, disputes, and the competing ethical and legal arguments around training data
How you'll learn
Real-World LearningLearn from MIT faculty and experts who ground their teaching in real-world cases rather than mathematical models, making the material approachable for all.
Learn On DemandAccess all course content online with complete flexibility to study at your own pace.
AI-Enabled SupportDeepen your understanding of the course material and get help on assignments from AskTIM, the AI assistant built by MIT researchers.
Stackable CredentialsEarn an MIT Open Learning certificate at each milestone—module, course, and program—demonstrating your AI expertise. Available in paid courses only.
Meet your instructors
Ian Condry
Professor of Japanese Culture and Media Studies
Ian Condry is a Cultural Anthropologist and Professor in Comparative Media Studies/Writing with an affiliated appointment in Anthropology.
He is the author of two books, founder of the MIT Spatial Sound Lab, radio DJ on WMBR, co-founder of the startup Hearby.com. He releases music as Leftroman. His books are available for free under Creative Commons license.
In the fall of 2019, he launched the MIT Spatial Sound Lab, a community production studio for immersive, multiperspective, sonic experimentation. We aim to disrupt hierarchies, reduce inequalities, and cross borders. He is co-organizer of Dissolve Music, a sound conference and music festival, in 2018 and 2020 (mitdissolve.com).
