What are you looking for today?

Allen, Becky and Mo, Ronald (2025) Perceptions of an Artificial Intelligence Musical Collaborator. Journal of the Audio Engineering Society. pp. 1-10.

Full text not available from this repository. (Request a copy)

Abstract

Abstract

Generative Artificial Intelligence (GenAI) has the potential to change the landscape of music creativity through new creative practices and tools to assist in all aspects of music making. However, the acceleration of this
technology has also prompted concerns relating to a range of ethical issues. Discourse surrounding AI within music has included limited consultation with creative practitioners surrounding potential disruption to working practices.
This study centres the concept of ‘musicking’ to identify participants to gather data pertaining to views of Generative AI within music. Findings indicate that some musicians are already incorporating AI within their
practice as a creative assistant. However, a clear mental model of how AI works and how this can be ethically implemented within practice is lacking, potentially exacerbating concerns around AI adoption. Embedding a
human-centred AI approach to the development of AI music tools, through stakeholder engagement and alignment with existing music technology may harness the positive potential of AI without devaluing musicianship.

Item Type: Article
Depositing User: Becky Allen
URI: https://sure.sunderland.ac.uk/id/eprint/19405

Further Details

More Information

Depositing User

Identifiers

Item ID
19405

Users with ORCIDS

ORCID for Becky Allen
ORCID for Ronald Mo

Catalogue record

Date Deposited
10 Sep 2025 13:15
Last Modified
10 Sep 2025 13:15

Actions (login required)

View Item (Repository Staff Only)