AI as Guardian: Detecting Deepfakes, Soundalikes and Copyright Infringement in Music

The same technology enabling unprecedented creative possibilities is also fueling a surge in unauthorized content—from AI-generated vocal clones and instrumental soundalikes to deepfake performances that blur the line between homage and infringement. As these sophisticated imitations become increasingly difficult to detect with the human ear, the music industry faces an urgent question: How do we protect artists' voices, compositions, and identities in an age where anyone can be replicated?

This panel explores the emerging frontier of AI-powered copyright protection, where machine learning systems are being deployed to identify unauthorized uses, detect synthetic vocal performances, and flag potential infringements at scale. Our experts will discuss the technical innovations behind detection systems, the adoption by the music industry and the legal frameworks evolving to address AI-generated content.

We'll examine real-world case studies, debate the effectiveness of current detection methods, and consider the ethical implications: When does inspiration become infringement? How do we verify authenticity without stifling creativity? And can AI be both the problem and the solution?