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Sustainability in Artificial Intelligence - Towards a Green AI Reference Model

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dc.contributor.authorWeber, Sebastian
dc.contributor.authorGuldner, Achim
dc.contributor.authorBegic Fazlic, Lejla
dc.contributor.authorDartmann, Guido
dc.contributor.authorNaumann, Stefan
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:21Z
dc.date.available2023-11-29T14:50:21Z
dc.date.issued2023
dc.description.abstractThe interest in Green Artificial Intelligence (AI) is growing as AI research is increasingly focusing on and taking into account environmental sustainability. This paper aims to clarify and emphasize the distinction between terms like sustainable AI, Green AI, Green by AI, and Green in AI, highlighting their importance in the context of environmentally responsible AI practices. We find that existing Green Software reference models are insufficient for meeting the unique requirements of Green AI. Thus, we argue that a tailored Green AI reference model is needed to guide and promote environmentally responsible practices in the field of AI, addressing the special considerations associated with Green AI.en
dc.identifier.doi10.18420/inf2023_154
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43079
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectGreen AI
dc.subjectSustainable AI
dc.subjectReference Model
dc.subjectResource and Energy Consumption
dc.titleSustainability in Artificial Intelligence - Towards a Green AI Reference Modelen
dc.typeText/Conference Paper
gi.citation.endPage1514
gi.citation.publisherPlaceBonn
gi.citation.startPage1503
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleÖkologische Nachhaltigkeit - KIU-2026

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P337 - INFORMATIK 2023 - Designing Futures: Zukünfte gestalten