kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
GLOBAL ETHICS: Reflection 2.0 (2024)
University of Hong Kong, Hong Kong.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-1679-6018
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
2025 (English)In: Artificial Intelligence and Music Ecosystem: Second Edition, Informa UK Limited , 2025, 2, p. 168-170Chapter in book (Other academic)
Abstract [en]

This chapter highlights the flourishing research and industrial practice of music AI across Asia, a region with diverse cultural and philosophical traditions that can significantly reshape technology ethics historically centred on Western thought. In an earlier theoretical work, the authors proposed non-Western interpretations of three “ethically aligned design” principles-human rights, well-being, and awareness of misuse-aimed at reconceiving AI’s role in musical creation and engagement. This chapter builds upon that framework by drawing on interviews with music AI researchers, developers, and practitioners in various Asian contexts. Conversations reveal how stakeholders interpret and implement ethical guidelines: (1) bridging the potential for AI to “revive” music traditions while intensifying data and environmental challenges, (2) reevaluating “human-centred” design in relation to collective/post-humanist visions, and (3) grappling with corporate influences on data sourcing and cultural representation. The post-reflection commentary highlights new realities of AI expansion, from the surge in AI data centres in Asia to the push for culturally diverse music-generative systems and ongoing tensions surrounding model ownership, accountability, and cross-border knowledge flows. This chapter presents Asia-based perspectives and advances a pluralistic, cross-cultural approach to music AI ethics that can inform global creative practices and policies and help shape a music ecosystem thriving on local and transnational collaboration.

Place, publisher, year, edition, pages
Informa UK Limited , 2025, 2. p. 168-170
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-383085DOI: 10.4324/9781003516989-12Scopus ID: 2-s2.0-105040019591OAI: oai:DiVA.org:kth-383085DiVA, id: diva2:2067575
Note

Part of ISBN 9781040436844, 9781032846262

QC 20260608

Available from: 2026-06-08 Created: 2026-06-08 Last updated: 2026-06-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Holzapfel, AndreSturm, Bob L. T.

Search in DiVA

By author/editor
Holzapfel, AndreSturm, Bob L. T.
By organisation
Media Technology and Interaction Design, MIDSpeech, Music and Hearing, TMH
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 19 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf