Organisers: Charles P Martin, Fabio Morreale, Benedikte Wallace, Hugo Scurto
Welcome to the second NIME workshop on Critical Perspectives on AI/ML in Musical Interfaces!
When is the workshop?
The workshop will be on 13,14,15/6/2020 (depending on your timezone) in three sessions:
| Session | PDT (UTC-7) | EDT (UTC-4) | UTC+0 | CST (UTC+8) | AEST (UTC+10) | NZST (UTC+12) |
|---|---|---|---|---|---|---|
| 1 | 17:00 | 20:00 | 00:00 | 08:00 | 10:00 | 12:00 |
| 2 | 01:00 | 04:00 | 08:00 | 16:00 | 18:00 | 20:00 |
| 3 | 09:00 | 12:00 | 16:00 | 00:00 | 02:00 | 04:00 |
See the NIME Programme for registration details and a handy timezone converter to help find the correct time for you!
Details and panellists for each session are below.
How do I attend the workshop?
- The workshop will take place on Zoom (meeting link sent to you in emails),
- and Slack (server link TBA).
If you are having trouble attending and need another channel to communicate with the organisers, jump onto our discord server and you’ll find them there.
How do I contribute?
See the “Schedule and How this Works” page for instructions about how the workshop sessions will work and how you can contribute before, during, and after the synchronous sessions.
Workshop Provocation
The use of machine learning and AI in everyday applications has taken off in recent years. Now, you can buy a refrigerator with “AI”, but, despite much media interest in “AI composers”, not a musical instrument (or perhaps, not a good one). This workshop seeks to develop a community of NIME researchers and practitioners to analyse the roles that computational intelligence already plays in music technology and where it may play a role in future.
This workshop follows up on a successful 2020 edition of “Critical Perspectives”. We aim to consolidate current ML-related thought in NIME, and to develop a research network that focuses on future work in ML-enhanced interfaces for musical performance.
Notably, this objective diverges from previous NIME research that has focused on technical implementations; rather, we aim to offer a forum for academic discussions on critical and theoretical perspectives.
Our workshop format is online-first and inclusive in terms of geographic location and timezone as well as background and research area. We aim to include as many participants as possible.
Workshop Schedule
The workshop will take place in three sessions with different themes. You are welcome to attend whichever session is most convenient for you, or more than one!
1: Social and Cultural Impact 2021-06-14T00:00+00:00
Panellists: Suzanne Kite, Jonathan Sterne
- What are the potential benefits and drawbacks of using AI/ML in NIMEs?
- Is musical AI/ML a product of our techno-euphoric climate or will its effects be long-lasting?
- What will the effects be on enhancement and reduction of performers’ creativity?
- What role could musical AI/ML have in education?
2: Artistic and Creative Perspectives 2021-06-14T08:00+00:00
Panellists: Thor Magnusson, Sarah Fdili Alaoui, Eunsu Kang
- What are the roles of AI/ML in NIMEs?
- What kind of NIMEs and music technology does AI/ML afford?
- How can AI/ML affect musical practices?
- What distinguishes current/new applications of AI/ML to NIMEs from those already established?
- Can AI/ML-enabled instruments produce unique music?
3: Diversity and Ethics 2021-06-14T16:00+00:00
Panellists: Bob Sturm, Phoenix Perry
- What kind of musical bias could data used for training ML models potentially encapsulate?
- How should we cope with legal issues related to data ownership in ML-based NIMEs?
- How should we cope with the environmental issues related to the training of AI/ML for NIMEs?
See the schedule page for how each session will work!
Each 90-minute session will include panellists from in- and outside of the NIME community, who will provide an orientation talk and discussion on the theme of the session. The rest of the session will involve directed discussions with the participants to develop a body of ML-related research perspectives with an eventual goal of developing an edited volume or journal special issue with contributions from the NIME community.