The future of artificial intelligence in the context of industrial ecology

被引:6
|
作者
Donati, Franco [1 ,2 ]
Dente, Sebastien M. R. [3 ]
Li, Chen [1 ]
Vilaysouk, Xaysackda [3 ]
Froemelt, Andreas [4 ,5 ]
Nishant, Rohit [6 ]
Liu, Gang [7 ]
Tukker, Arnold [1 ,8 ]
Hashimoto, Seiji [3 ]
机构
[1] Leiden Univ, Inst Environm Sci CML, Dept Ind Ecol, Leiden, Netherlands
[2] Sci Democracy, Rue Arlon, Brussels, Belgium
[3] Ritsumeikan Univ, Coll Sci & Engn, Kyoto, Shiga, Japan
[4] Eawag, Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland
[5] Swiss Fed Inst Technol, Inst Environm Engn, Chair Ecol Syst Design, Zurich, Switzerland
[6] Univ Laval, Fac Business Adm, Quebec City, PQ, Canada
[7] Univ Southern Denmark, Dept Green Technol, DU Life Cycle Engn, Odense, Denmark
[8] TNO, Netherlands Org Appl Sci Res, Da Den Haag, Netherlands
关键词
artificial intelligence; data; digital technologies; industrial ecology; interdisciplinary research; sustainability; SYSTEM;
D O I
10.1111/jiec.13313
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Artificial intelligence (AI) applications and digital technologies (DTs) are increasingly present in the daily lives of citizens, in cities and in industries. These developments generate large amounts of data and enhance analytical capabilities that could benefit the industrial ecology (IE) community and sustainability research in general. With this communication, we would like to address some of the opportunities, challenges, and next steps that could be undertaken by the industrial ecology community in this realm. This article is an adapted summary of the discussion held by experts in industrial ecology, AI, and sustainability during the 2021 Industrial Ecology Day conference session titled "The Future of Artificial Intelligence in the Context of Industrial Ecology." In brief, building on previous studies and communications, we advise the industrial ecology community to: (1) create internal committees and working groups to monitor and coordinate AI applications within and outside the community; (2) promote and ensure transdisciplinary efforts; (3) determine optimal infrastructure and governance of AI for IE to minimize undesired effects; and (4) act on effective representation and on reduction of digital divides.
引用
收藏
页码:1175 / 1181
页数:7
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