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Explainable Sustainability for AI in the Arts
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-0028-9030
2023 (English)In: The 1st International Workshop on Explainable AI for the Arts, ACM Creativity and Cognition Conference, 2023, 2023Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

AI is becoming increasingly popular in artistic practices, but the tools for informing practitioners about the environmental impact (and other sustainability implications) of AI are adapted for other contexts than creative practices - making the tools and sustainability implications of AI not accessible for artists and creative practitioners. In this position paper, I describe two empirical studies that aim to develop environmental sustainability reflection systems for AI Arts, and discuss and introduce Explainable Sustainability in for AI Arts.

Place, publisher, year, edition, pages
2023.
Keywords [en]
sustainability, AI art, explainable sustainability
National Category
Human Computer Interaction
Research subject
Art, Technology and Design
Identifiers
URN: urn:nbn:se:kth:diva-327919OAI: oai:DiVA.org:kth-327919DiVA, id: diva2:1761484
Conference
The 1st International Workshop on Explainable AI for the Arts, ACM Creativity and Cognition Conference
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP), 2020.0102
Note

QC 20230614

Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2024-05-03Bibliographically approved

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Jääskeläinen, Petra

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf