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How to Make AI Artists Feel Guilty in a Good Way?: Designing Integrated Sustainability Reflection Tools (SRTs) for Visual Generative AI
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-6685-0900
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
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: ICCC '23 International Conference of Computational Creativity, 2023Conference paper, Published paper (Refereed)
Abstract [en]

AI can be energy intensive, and artists currently lack access to empowering information. With growing concerns of cli- mate change and calls for environmental sustainability, there is a real need to explore strategies to communicate sustain- ability information to artists using generative AI, given its increasing presence and widening accessibility. This paper presents an exploratory Research-through-Design study (in- cluding design-informing survey, design prototyping, user testing) of integrating sustainability reflection features into generative AI systems, and provides preliminary knowledge of the design characteristics that can be leveraged, including artists’ experiences of them. This paper finds that granular, relatable data visualizations and informed use of colors are effective in communicating about energy consumption. Fur- thermore, artists were positive towards ”feeling bad” in the process of becoming aware of their impacts, and called for systems that could provide them low-energy settings during exploratory stages of the artistic process.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Sustainability of Generative AI, Sustainability Reflection Tools, Explainable Sustainability
National Category
Human Computer Interaction
Research subject
Art, Technology and Design
Identifiers
URN: urn:nbn:se:kth:diva-327918OAI: oai:DiVA.org:kth-327918DiVA, id: diva2:1761481
Conference
ICCC International Conference of Computational Creativity, Waterloo, Canada, 19-23 June, 2023
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP), 2020.0102
Note

QC 20231122

Available from: 2023-06-01 Created: 2023-06-01 Last updated: 2023-11-22Bibliographically approved

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Ren, YuanyangSivakumaran, AswathNiemelä, EmmaJääskeläinen, Petra

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