Four-year research-creation project / Montréal
Embodying AI:
Music Making
Beyond the Prompt
EMAI brings researchers and musicians together to investigate the exercise of agency in music composition and performance with machine learning systems.
About
the project
For the Embodying AI (EMAI) project, our team approaches artificial intelligence specifically as something artists can build, train, situate, perform, listen to, and think with. We aren’t particularly engaged with prompts or corporate datasets.
The project develops and shares approaches centred on embodiment, small data, authorship, and literacy.
Host
labs
Doctoral researchers will join a team working across the Potential Lab for Art, Sound, and Music (PLASM) at Concordia, the Laboratoire formes·ondes (LFO) at UdeM, and the Metacreation Lab at SFU, with CIRMMT—Canada's largest interdisciplinary music research centre—serving as the project's shared research hub.
Head
Investigators
EMAI is led by Gabriel Vigliensoni (Concordia University), with co-investigators Dominic Thibault and Erin Gee (Université de Montréal), and Philippe Pasquier (Simon Fraser University). The project aims to bring its creative work to international experimental music and digital arts communities. The team is also preparing to host the AI and Music Creativity (AIMC) conference in Montréal in 2027.
positions
for three years
start, September
across PLASM, LFO, CIRMMT and Metacreation Lab
