Workshop Summary
This one-day workshop will explore the dynamic intersection of artificial intelligence and music.
It explores how AI is transforming music creation, recognition, and education, ethical and legal implications, as well as business opportunities.
We will investigate how AI is changing the music industry and education—from composition to performance, production, collaboration, and audience experience.
Participants will gain insights into the technological challenges in music and how AI can enhance creativity, enabling musicians and producers to push the boundaries of their art.
The workshop will cover topics such as AI-driven music composition, where algorithms generate melodies, harmonies, and even full orchestral arrangements. We will discuss how AI tools assist in sound design, remixing, and mastering, allowing for new sonic possibilities and efficiencies in music production.
Additionally, we'll examine AI's impact on music education and the careers of musicians, exploring advanced learning tools and teaching methods. AI technologies are increasingly adopted in the music and entertainment industry.
The workshop will also discuss the legal and ethical implications of AI in music, including questions of authorship, originality, and the evolving role of human artists in an increasingly automated world. This workshop is designed for AI researchers, musicians, producers, and educators interested in the current status and future of AI in music.
Invited Speakers
Hao-Wen
(Herman) Dong is an
Assistant Professor in the
Performing Arts Technology
Department at University of
Michigan. Herman’s research
aims to empower music and
audio creation with machine
learning. His long-term goal
is to lower the barrier of
entry for music composition
and democratize audio
content creation. He is
broadly interested in music
generation, audio synthesis,
multimodal machine learning,
and music information
retrieval. Herman received
his PhD degree in Computer
Science from University of
California San Diego, where
he worked with Julian
McAuley and Taylor
Berg-Kirkpatrick. Herman’s
research has been recognized
by the UCSD CSE Doctoral
Award for Excellence in
Research, KAUST Rising Stars
in AI, UChicago and UCSD
Rising Stars in Data
Science, ICASSP Rising Stars
in Signal Processing and
UCSD GPSA Interdisciplinary
Research Award.
Zhiyao
Duan is an associate
professor in Electrical
and Computer Engineering,
Computer Science, and Data
Science at University of
Rochester. He is also a
co-founder of Violy, a
company aiming to improve
music education through
AI. His research interest
is in computer audition
and its connections with
computer vision, natural
language processing, and
augmented and virtual
reality. He received a
best paper award at the
Sound and Music Computing
(SMC) Conference in 2017,
a best paper nomination at
the International Society
for Music Information
Retrieval (ISMIR)
Conference in 2017, and a
CAREER award from the
National Science
Foundation (NSF). His work
has been funded by NSF,
National Institute of
Health, National Institute
of Justice, New York State
Center of Excellence in
Data Science, and
University of Rochester
internal awards on AR/VR,
health analytics, and data
science. He is a senior
area editor of IEEE Signal
Processing Letters, an
associate editor for IEEE
Open Journal of Signal
Processing, and a guest
editor for Transactions of
the International Society
for Music Information
Retrieval. He is the
President of ISMIR.
Miguel Willis is the
Innovator in Residence at
the Law School’s Future of
the Profession Initiative
(FPI), University of
Pennsylvania. He
concurrently serves as the
Executive Director of Access
to Justice Tech Fellows, a
national nonprofit
organization that develops
summer fellowships for law
students seeking to leverage
technology to create
equitable legal access for
low-income and marginalized
populations. Prior to
joining FPI, Willis served
as the Law School Admissions
Council's (LSAC) inaugural
Presidential Innovation
Fellow. Willis currently
serves on the advisory board
of University of Arizona
James E. Rogers College of
Law’s Innovation for Justice
(i4J) program and serves on
The Legal Services
Corporation’s Emerging
Leaders Council.
Gus
Xia is an assistant
professor of Machine
Learning at the Mohamed bin
Zayed University of
Artificial Intelligence in
Masdar City, Abu Dhabi. His
research includes the design
of interactive intelligent
systems to extend human
musical creation and
expression. This research
lies in the intersection of
machine learning,
human-computer interaction,
robotics, and computer
music. Some representative
works include interactive
composition via style
transfer, human-computer
interactive performances,
autonomous dancing robots,
large-scale content-based
music retrieval, haptic
guidance for flute tutoring,
and bio-music computing
using slime mold.
