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Environmental and Social Sustainability of Creative-Ai
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), 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: 0000-0002-7605-0093
2022 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The recent developments of artificial intelligence increase its capability for a creation of arts in both largely autonomous and collaborative contexts. In both contexts, Ai aims to imitate, combine, and extend existing artistic styles, and can transform creative practices. In our ongoing research, we investigate such Creative-Ai from sustainability and ethical perspectives. The two main focus areas are understanding the environmental sustainability aspects (material, practices) in the context of artistic processes that involve Creative-Ai, and ethical issues related to who gets to be involved in the creation process (power, authorship, ownership). This paper provides an outline of our ongoing research in these two directions. We will present our interdisciplinary approach, which combines interviews, work- shops, online ethnography, and energy measurements, to address our research questions: How is Creative-Ai currently used by artist communities, and which future applications do artists imagine? When Ai is applied to creating art, how might it impact the economy and environment? And, how can answers to these questions guide requirements for intellectual property regimes for Creative-Ai?

Place, publisher, year, edition, pages
2022.
National Category
Human Computer Interaction
Research subject
Art, Technology and Design
Identifiers
URN: urn:nbn:se:kth:diva-313286DOI: 10.48550/arXiv.2209.12879OAI: oai:DiVA.org:kth-313286DiVA, id: diva2:1761491
Conference
GenAICHI Generative AI and CHI wokshop - ACM CHI 2022
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: 2024-04-29Bibliographically approved

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Holzapfel, AndreJääskeläinen, PetraKaila, Anna-Kaisa

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  • apa
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