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Explorations with Ethically Aligned Stakeholder Analysis (EASE)
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-7605-0093
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-0028-9030
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-1679-6018
2023 (English)In: GenerativeAIandHCI.github.io, Online: Association for Computing Machinery (ACM), 2023Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

Development of data-driven tools for artistic creation touches upon a diverse range of stakeholders, but it is insufficiently recognised in the engineering communities working with creative technologies. To support increased awareness and sensitivity to ethical predicaments of the development work, we present an analytical for a structured, power-sensitive stakeholder identification and mapping – Ethically Aligned Stakeholder Elicitation (EASE). As a case study, we test the method in workshops with six groups that develop artificial intelligence in musical contexts (music-AI). The results from the workshops demonstrate that methods like EASE can effectively promote critical self-reflection and expose value tensions in the development processes, thus helping developers move towards ethically aligned research and development of creative-AI.

Place, publisher, year, edition, pages
Online: Association for Computing Machinery (ACM), 2023.
Keywords [en]
AI, music, ethics, stakeholder analysis, care ethics
National Category
Music Ethics
Research subject
Art, Technology and Design
Identifiers
URN: urn:nbn:se:kth:diva-344754OAI: oai:DiVA.org:kth-344754DiVA, id: diva2:1847220
Conference
From April 23-28, 2023, CHI Hamburg, Germany
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP), 2020.0102
Note

QC 20240429

Available from: 2024-03-26 Created: 2024-03-26 Last updated: 2024-04-29Bibliographically approved

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GenerativeAIandHCI.github.io

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Kaila, Anna-KaisaPetra, JääskeläinenHolzapfel, Andre
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
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