# Who Gets Credit When Anyone Can Train a Music AI?

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**Date:** March 13, 2026 · 10:30 PM  
**Location:** Downright Austin / Capitol Ballroom ABCD  
**Format:** Panel  
**Track:** Music  
**Reviews:** 0

## Speakers

- **Virginie Berger** — Chief Industry and Rights Officer
- **Turo Pekari** — Chief Liaison Officer
- **Neeta Ragoowansi** — President
- **Dot Bustelo** — Head of AI Partnerships

Open-source models like MusicGen and LLaRK have made it possible for anyone to generate music trained on unlicensed datasets, with no metadata, no audit trail, and no path to compensation. This panel unpacks the growing attribution crisis: how metadata is breaking down, how local models make enforcement impossible, and how startups and regulators are working to rebuild trust and traceability. Can ethical licensing survive when the tools of mass creation are in everyone’s hands?

## Transcript

A transcript is available for this session: [Read transcript](/sessions/2026-03-13/pp1162285-who-gets-credit-when-anyone-can-train-a-music-ai/transcript)

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