As generative AI rapidly transforms creative economies, the Association for Electronic Music has unveiled a sweeping set of “AI Principles” designed to safeguard human artistry in an era of synthetic sound.
Electronic dance music is a genre born from machines and shaped by innovation, so it’s no surprise it’s now at the epicenter of a global reckoning with artificial intelligence. AI-powered music apps attracted a combined total of 60 million users in 2024, according to this year’s IMS Business Report, which valued the electronic music industry at $12.9 billion.
AFEM, representing over 300 members across 40 countries, is uniquely positioned to galvanize change. Their new framework zeros in on three foundational demands: consent, attribution and compensation, responding to growing concerns around unauthorized data scraping, AI-generated vocals and opaque revenue models that often leave original creators out of the equation.
“The problem with Gen AI has been that all involved are operating in the absence of a generally agreed framework for what is acceptable and what is not,” said AFEM co-founder Kurosh Nasseri. “By formulating a simple set of core principles which define the parameters of acceptable Gen AI operations, we will create the environment in which this new technology can flourish without violating the rights of creators and rightsholders of existing copyrights.”
While AFEM charts a path grounded in creator rights, the broader industry is pivoting too. Universal, Sony and Warner, once opponents of controversial AI platforms like Suno and Udio, are now reportedly in talks to license their catalogs to the same startups they recently sued for mass infringement. These potential deals could set early precedents for how generative AI and copyright laws might coexist.
AFEM’s principles, however, represent a more deliberate recalibration. Beyond contracts and legal clarity, they assert that creators must retain moral rights and receive proper credit and payment wherever AI touches their work.
“Electronic music has always thrived on innovation, blending new and old technologies with pure human talent to forge new musical languages,” added Jay Ahern, AFEM’s Chief Growth Officer. “We’re excited about AI not just as a sound generator, but as a tool to help surface and identify music, so creators and rights holders are both creatively fulfilled and fairly compensated.”
