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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

A Human-Centered Artificial Intelligence Approach to Adaptable Digital Musical Instrument Development

Allen, Becky (2023) A Human-Centered Artificial Intelligence Approach to Adaptable Digital Musical Instrument Development. In: CHIME Annual One-day Music and HCI Workshop, 04 Dec 2023, The Open University, Milton Keynes, UK.

Item Type: Conference or Workshop Item (Paper)

Abstract

Advances within AI (Artificial Intelligence), particularly in relation to generative AI has led to greater inclusion of this technology within creative industries, including music. However, there are a variety of concerns pertaining to this innovation and its impact on musicians. Although there are a range of issues regarding this technology, it has the potential to enrich the current provision of adaptable, accessible digital musical instruments (ADMIs). This paper proposes the use of a human-centered AI methodology alongside users and musicians as co-creators to leverage the advantages of this technology, whilst integrating participatory practices to embed a more ethically focused approach to AI as a creative tool.

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Depositing User: Becky Allen

Identifiers

Item ID: 17131
URI: http://sure.sunderland.ac.uk/id/eprint/17131
Official URL: https://static1.squarespace.com/static/6227c31a43d...

Users with ORCIDS

Catalogue record

Date Deposited: 04 Jan 2024 14:37
Last Modified: 04 Jan 2024 14:37

Contributors

Author: Becky Allen

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Artificial Intelligence
Computing > Human-Computer Interaction
Performing Arts > Music

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