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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, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.ORCID-id: 0000-0002-6685-0900
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Människocentrerad teknologi, Medieteknik och interaktionsdesign, MID.ORCID-id: 0000-0002-0028-9030
2023 (engelsk)Inngår i: ICCC '23 International Conference of Computational Creativity, 2023Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2023.
Emneord [en]
Sustainability of Generative AI, Sustainability Reflection Tools, Explainable Sustainability
HSV kategori
Forskningsprogram
Konst, teknik och design
Identifikatorer
URN: urn:nbn:se:kth:diva-327918OAI: oai:DiVA.org:kth-327918DiVA, id: diva2:1761481
Konferanse
ICCC International Conference of Computational Creativity, Waterloo, Canada, 19-23 June, 2023
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP), 2020.0102
Merknad

QC 20231122

Tilgjengelig fra: 2023-06-01 Laget: 2023-06-01 Sist oppdatert: 2023-11-22bibliografisk kontrollert

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Ren, YuanyangSivakumaran, AswathNiemelä, EmmaJääskeläinen, Petra

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Totalt: 445 treff
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