About us

Human-AI Resonance Lab

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Mission

The Human-AI Resonance (HAI-RES) lab at MIT studies generative AI through the lens of live musical interaction. We design systems that musicians can jam with, steer, and understand—not as replacements for human creativity, but as partners in improvisation, composition, and performance.

What we do

Our work spans interactive generative models, real-time AI agents, human-computer interaction, and practice-based research documented on stage and in the studio. We partner with musicians to build tools grounded in specific creative traditions and performance contexts.

Research directions

We take an interaction-driven approach to generative AI: neural networks as a lens onto music and a mirror onto our own understanding of it. Current themes include interpretability for musicians, multi-agent reinforcement learning for collective improvisation, efficient models for live performance, and jam spaces where researchers and artists can swap in new agents and reward models.

Where we are

The lab is led by Cheng-Zhi Anna Huang at MIT, with a shared appointment in Electrical Engineering and Computer Science (EECS) and Music and Theater Arts (MTA). We are part of the broader MIT music technology and human-AI research community.

Get involved

See our people, publications, and Join page for open positions.