/ About this event
What's actually missing from the future of sound?
The conversation around AI and music has been hijacked by one topic: generative music. But generation is just one layer of a much deeper set of unsolved, under-discussed, and commercially consequential problems.
Today's music AI models can't reliably produce music outside Western tonal systems — failing on the quarter tones, maqam, raga traditions, and more that underpin hundreds of millions of listeners' musical cultures. And we still don't adequately understand how people actually perceive and evaluate AI-generated vs. human-made music — a gap that shapes trust, adoption, and every creative tool built on top of these models. An intimate fireside with two practitioners working on different frontiers of what music AI still gets wrong.
🎯 What we'll get into
The cultural blind spot — why current music AI fails on non-Western music, and why it's an evaluation problem before it's a data problem The perception gap — how listeners actually tell AI from human, and what that means for every product built on top of generative models The commercial case for depth — where real differentiation lives as generative fidelity becomes table stakes What's next — the tools, datasets, and frameworks that need to exist for music AI to serve creators and listeners across traditions The format ~90 minutes total. 25 min networking → 35 min fireside + audience Q&A → 30 min networking. 💡 Who this is for This event is a must if you're investing in audio AI, building in music tech, researching creative computing, engineering the tools, or making music that doesn't fit neatly into a 12-tone system.
This event is a part of #LATechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
