Sustainability in Artificial Intelligence - Towards a Green AI Reference Model
| dc.contributor.author | Weber, Sebastian | |
| dc.contributor.author | Guldner, Achim | |
| dc.contributor.author | Begic Fazlic, Lejla | |
| dc.contributor.author | Dartmann, Guido | |
| dc.contributor.author | Naumann, Stefan | |
| dc.contributor.editor | Klein, Maike | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Winter, Cornelia | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.date.accessioned | 2023-11-29T14:50:21Z | |
| dc.date.available | 2023-11-29T14:50:21Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The 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.doi | 10.18420/inf2023_154 | |
| dc.identifier.isbn | 978-3-88579-731-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43079 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2023 - Designing Futures: Zukünfte gestalten | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-337 | |
| dc.subject | Green AI | |
| dc.subject | Sustainable AI | |
| dc.subject | Reference Model | |
| dc.subject | Resource and Energy Consumption | |
| dc.title | Sustainability in Artificial Intelligence - Towards a Green AI Reference Model | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1514 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1503 | |
| gi.conference.date | 26.-29. September 2023 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Ökologische Nachhaltigkeit - KIU-2026 |
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