S. Kunkel, Frieder Schmelzle, Silke Niehoff, G. Beier
{"title":"More sustainable artificial intelligence systems through stakeholder involvement?","authors":"S. Kunkel, Frieder Schmelzle, Silke Niehoff, G. Beier","doi":"10.14512/gaia.32.s1.10","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) systems carry risks and opportunities for environmental sustainability. The use of AI systems, for instance, can result in both software-related (direct) as well as application-context-related (indirect) resource use. Stakeholders are expected to play a\n role in understanding and steering the environmental effects of AI systems. However, the processes and anticipated outcomes of stakeholder involvement in AI system lifecycles are not clear. We provide a non-exhaustive scoping review of six software and AI sustainability frameworks with respect\n to their recognition of environmental sustainability and the role of stakeholders in dealing with environmental sustainability. This serves to develop recommendations for future research on how stakeholder involvement can help firms and institutions design and use more sustainable AI systems.","PeriodicalId":49073,"journal":{"name":"Gaia-Ecological Perspectives for Science and Society","volume":" ","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gaia-Ecological Perspectives for Science and Society","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.14512/gaia.32.s1.10","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 1
Abstract
Artificial intelligence (AI) systems carry risks and opportunities for environmental sustainability. The use of AI systems, for instance, can result in both software-related (direct) as well as application-context-related (indirect) resource use. Stakeholders are expected to play a
role in understanding and steering the environmental effects of AI systems. However, the processes and anticipated outcomes of stakeholder involvement in AI system lifecycles are not clear. We provide a non-exhaustive scoping review of six software and AI sustainability frameworks with respect
to their recognition of environmental sustainability and the role of stakeholders in dealing with environmental sustainability. This serves to develop recommendations for future research on how stakeholder involvement can help firms and institutions design and use more sustainable AI systems.
期刊介绍：
GAIA is a peer-reviewed inter- and transdisciplinary journal for scientists and other interested parties concerned with the causes and analyses of environmental and sustainability problems and their solutions.
Environmental problems cannot be solved by one academic discipline. The complex natures of these problems require cooperation across disciplinary boundaries. Since 1991, GAIA has offered a well-balanced and practice-oriented forum for transdisciplinary research. GAIA offers first-hand information on state of the art environmental research and on current solutions to environmental problems. Well-known editors, advisors, and authors work to ensure the high quality of the contributions found in GAIA and a unique transdisciplinary dialogue – in a comprehensible style.
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