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De-centering the West: East Asian philosophies and the ethics of applying artificial intelligence to music
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0009-0006-4623-0890
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2549-6367
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. (Creative Media Technology)ORCID iD: 0000-0003-1679-6018
2021 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Questions about the ethical dimensions of artificial intelligence (AI) become more pressing as its applications multiply. While there is a growing literature calling attention to the ethics of AI in general, sector-specific and culturally sensitive approaches remain under-explored. We thus initiate an effort to establish a framework of ethical guidelines for music AI in the context of East Asia, a region whose rapid technological advances are playing a leading role in contemporary geopolitical competition. We draw a connection between technological ethics and non-Western philosophies such as Confucianism, Buddhism, Shintoism, and Daoism. We emphasize interrelations between AI and traditional cultural heritage and values. Drawing on the IEEE Principles of Ethically Aligned Design, we map its proposed ethical principles to East Asian contexts and their respective music ecosystem. In this process of establishing a culturally situated understanding of AI ethics, we see that the seemingly universal concepts of “human rights”, “well-being”, and potential “misuse” are ultimately fluid and need to be examined in specific cultural contexts. 

Place, publisher, year, edition, pages
International Society for Music Information Retrieval , 2021. p. 301-309
National Category
Ethics Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-301747DOI: 10.5281/zenodo.5624543Scopus ID: 2-s2.0-85138121963OAI: oai:DiVA.org:kth-301747DiVA, id: diva2:1593209
Conference
22nd International Conference on Music Information Retrieval, ISMIR 2021, Virtual, Online, 7-12 November 2021
Funder
Swedish Research Council, 2019-03694Marianne and Marcus Wallenberg Foundation, 2020.0102EU, Horizon 2020, 864189
Note

Duplicate record in Scopus 2-s2.0-85219519559

QC 20250313

Available from: 2021-09-10 Created: 2021-09-10 Last updated: 2025-03-13Bibliographically approved

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Huang, RujingSturm, BobHolzapfel, Andre

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