In Conversation with Jennifer Walshe
Performing with Intelligent Machines
Bibliographic Data
| ID | 14809677 |
|---|---|
| Authors | Michelle Dyer (0000-0002-9863-0099, University of London), Zubin Kanga (0000-0002-0725-2820, University of London, corresponding author), Jennifer Walshe (0000-0002-1389-677X, University of Oxford) |
| Year | 2023 |
| Volume | 42 |
| Issue | 3 |
| Pages | 391-399 |
| Publication date | 2023-05-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Contemporary Music Review (JOURNAL) |
| Journal identifiers | ISSN: 0749-4467 • E-ISSN: 1477-2256 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07494467.2023.2276563 |
| OpenAlex | W4389134322 |
| Language | EN |
| Citations received | 1 |
In this interview, composer, performer and improviser Jennifer Walshe talks with Mark Dyer and Zubin Kanga about her work performing with machine learning algorithms and other intelligent machines. In contrast to the many articles and interviews that have largely focused on Walshe’s practice as a composer, this interview focuses on her practice as a performer integrating these technologies into her work, centring around ULTRACHUNK (2018) and IS IT COOL TO TRY HARD NOW? (2017). As well as discussing the effect machine learning technologies might have on the experimental music industry, Walshe reflects on the role of the performing human body in an era of technological proliferation
Aesthetics · Art · Cognitive science · Conversation · Sociology · Visual arts · Communication · Computer Science · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction · Psychology
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |