♪ AAAI Workshop · 2025

AI for Music:
2025 AAAI Workshop

Exploring how AI is transforming music creation, recognition, and education — alongside ethical implications and business opportunities.

Submit Paper → AI4Musicians.org

Workshop date: March 3, 2025 (Monday) — AAAI 2025

Summary

2025 AAAI AI for Music Workshop attendees

This one-day workshop at the 2025 AAAI Annual Conference brings together researchers and practitioners to explore the intersection of artificial intelligence and music. Topics span AI-driven music composition, sound design, remixing, mastering, and the impact on music education.

The workshop also addresses the legal and ethical implications of AI in music, including questions of authorship, the evolving role of artists in increasingly automated creative processes, and the business opportunities emerging at this intersection.

Topics of Interest

Music Composition & Generation

Music Practice & Performance

Recognition & Transcription

Sound Design Applications

Video & Lyrics Generation

Legal & Ethical Implications

Career Impacts

Music Education

Business Opportunities

Music Datasets & Analysis

Schedule — March 3, 2025

09:00 AM

Welcome

09:10 AM

Keynote: Zhiyao Duan — AI Powered Interactive Music Making (moderated by Kristen Yeon-Ji Yun)

09:50 AM

Invited Talk: Miguel Willis

10:40 AM

Paper presentations (Session 1)

12:30 PM

Lunch break

01:00 PM

Invited Talk: Herman Dong — Generative AI for Music: Challenges and Opportunities

01:40 PM

Invited Talk: Ziyu Wang (representing Gus Xia) — From Imitation to Creation

02:20 PM

Panel Discussion

03:30 PM

Poster sessions

05:00 PM

Closing discussion

Invited Speakers

Zhiyao Duan

Associate Professor, University of Rochester

“AI Powered Interactive Music Making”

Co-founder of Violy, an AI-powered music education company. President of ISMIR and recipient of the NSF CAREER award. Research spans audio and music processing, multimodal analysis, and music information retrieval.

Miguel Willis

Innovator in Residence, University of Pennsylvania Law School

Focuses on innovation and equitable legal access through technology. Bridges the gap between emerging AI capabilities and their implications for creative industries and intellectual property.

Hao-Wen (Herman) Dong

Assistant Professor, University of Michigan

“Generative AI for Music: Challenges and Opportunities”

Expertise in music generation, audio synthesis, and multimodal machine learning. Recipient of the UCSD CSE Doctoral Award and Rising Stars recognitions.

Gus Xia

Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence

Research focuses on interactive intelligent systems for musical creation, at the intersection of machine learning, HCI, robotics, and computer music.

Ziyu Wang

PhD Candidate, NYU Courant Institute of Mathematical Sciences

“From Imitation to Creation” (presenting for Gus Xia)

An accomplished conductor, pianist, and Erhu player. Bridges traditional musical training with cutting-edge AI research in music generation and interaction.