Berklee Students Revolt Over AI Songwriting Course

A petition signed by 425 Berklee College of Music students and alumni is calling for cancellation of the elective course Bots and Beats: AI and the Future of Songwriting, and for the institution to stop promoting generative AI. Organizers accuse major models such as ChatGPT of exploiting the work of "tens of thousands" of artists to produce facsimiles of human art and causing "devastating consequences on the environment". Comments on the petition describe the class as threatening working musicians' income and craft.

The complaint focuses on three core technical and ethical issues driving practitioner concern:

• •Unauthorized dataset use: students say generative models are trained on scraped artist work without direct consent or compensation.
• •Output fidelity and market displacement: synthetic music can reproduce stylistic elements of living artists, raising questions about attribution and job displacement.
• •Environmental footprint: large-model training and inference consume substantial energy, which petitioners cite as an added harm.

Berklee responded that, as an "artist-first institution," it must "prepare our students to navigate technologies impacting the creative industries. We will continue to do so, in keeping with our guiding principles." The school frames the class as a skills-building elective rather than advocacy for specific commercial tools.

This dispute is an instance of a larger, ongoing industry debate over dataset provenance, artist rights, and the role of education in an AI-transformed creative economy. Universities and arts institutions are now frontline decision points where technical adoption, pedagogy, and ethics collide. For practitioners, the Berklee episode highlights three practical tensions: dataset governance and consent, model capability versus artistic value, and curricular design that balances tool fluency with professional advocacy.

Will the petition grow and prompt curriculum changes, or will Berklee keep the class and expand policy guidance on dataset ethics? Expect continued scrutiny from artists, potential legal pressure around training data, and similar debates at other arts schools as generative AI becomes integral to creative workflows.