Hamburg / September 17, 2026 - September 18, 2026
Music Frontiers
Reeperbahn Festival
Reeperbahn Festival
MUSIC FRONTIERS is an international conference at the intersection of music, technology, and innovation, which takes place as part of the Reeperbahn Festival in Hamburg. Hanna Lukashevich und Steffen Holly will contribute to discussions on AI in music, music analysis and the future of the music industry.
Fireside-Chat mit Steffen Holly/Fraunhofer IDMT und Amélie Anglade/Seeqnc
The music industry is drowning in AI claims. Some are genuine shifts in how music is made, distributed, and monetized. Many are product marketing dressed as inevitability. A clear-eyed scientific perspective on AI and music has never been more valuable – or more rare.
In this interview, Amélie Anglade, one of the first AI researchers to apply machine learning inside music companies sits down with Steffen Holly from Fraunhofer IDMT to do something the industry rarely makes space for: an honest, evidence-based assessment of where AI genuinely delivers, where it falls short, and where the gap between marketing claim and technical reality is costing labels, publishers, managers, and artists real money and real opportunity.
Clearly, without an agenda, together they map the capabilities that are already proven and underused, the applications that remain genuinely speculative, and the areas where AI is quietly doing more than the skeptics acknowledge.
No keynote optimism. No doomsday framing. Just neutral, scientific, researched evidence.
The fireside-chat will take place on September 18, 2026, at 11:15 a.m..
Panel with Jessica van Loon/Buma/Stemra, Hanna Lukashevich/Fraunhofer IDMT, Knut Schlinger/MusikWoche, Florian von Hoyer/AIxchange
AI-generated music doesn't appear from nowhere. Every piece of AI-generated music stands on the shoulders of human creativity, and the technology to acknowledge that debt, trace it, and turn it into fair compensation is advancing faster than most of the industry realizes.
This panel brings together the engineers, rights innovators, and legal architects who are building the detection and attribution frameworks that make transparency at scale not just possible but practical: tools that can identify the human-authored works behind AI outputs, registries that create traceable links between training data and rightsholders, and deployment-ready solutions that labels, publishers, and artists can act on today.
The legal landscape will continue to evolve, but the infrastructure being built right now will determine who gets paid, how reliably, and how soon. This is the session for everyone who wants to move from the debate to the solution and understand what a fair, functional, and future-proof attribution system for AI and music actually looks like in practice.
The panel will take place on September 18, 2026, at 12:05 p.m.