ABOUT
Rasha Rahman is the founder and CEO of HumanStandard, an AI detection post-lab building verification infrastructure for the music industry. As a lifelong musician, software engineer and social media creator, Rahman has become a leading independent voice on AI music, reaching millions of people through his research and AI music ethics content. His work focuses on helping the music industry distinguish human, AI-generated, hybrid and AI-derivative music at scale to protect and compensate rights holders.
PANELS
AI Detection: Who Gets Paid When the Machine Learns
Generative AI transforms how music is created, distributed, and consumed—but it also raises fundamental questions around authenticity, copyright, attribution, and trust. As AI-generated music becomes increasingly sophisticated, AI detection is moving beyond research into real-world adoption across the music industry. Labels, publishers, distributors, DSPs, and rights organizations are beginning to integrate detection technologies into their workflows to support fraud prevention, provenance verification, content evaluation, and rights management. This panel brings together leaders from across the industry to discuss how AI detection is being deployed today, why organizations are adopting it, and what implementation timelines and standards may look like over the coming years.
Wednesday, October 14, 2026, 4:30 PM