通过利益相关者的参与实现更可持续的人工智能系统?

IF 1.5 4区 社会学 Q4 ENVIRONMENTAL SCIENCES
S. Kunkel, Frieder Schmelzle, Silke Niehoff, G. Beier
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引用次数: 1

摘要

人工智能系统为环境可持续性带来了风险和机遇。例如,人工智能系统的使用可以导致软件相关(直接)和应用程序上下文相关(间接)的资源使用。利益相关者应在理解和指导人工智能系统的环境影响方面发挥作用。然而,利益相关者参与人工智能系统生命周期的过程和预期结果尚不清楚。我们对六个软件和人工智能可持续性框架进行了非详尽的范围审查,以了解它们对环境可持续性的认识以及利益相关者在处理环境可持续性方面的作用。这有助于为未来的研究制定建议,研究利益相关者的参与如何帮助企业和机构设计和使用更可持续的人工智能系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
More sustainable artificial intelligence systems through stakeholder involvement?
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.
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来源期刊
CiteScore
2.30
自引率
18.80%
发文量
43
审稿时长
>12 weeks
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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