Leal Filho Walter, Yang Peter, Eustachio João Henrique Paulino Pires, Azul Anabela Marisa, Gellers Joshua C, Gielczyk Agata, Dinis Maria Alzira Pimenta, Kozlova Valerija
Hamburg, Germany European School of Sustainability Science and Research (ESSSR), Hamburg University of Applied Sciences.
Chester Street, Manchester, M1 5GD UK Department of Natural Sciences, Manchester Metropolitan University.
Environ Dev Sustain. 2023;25(6):4957-4988. doi: 10.1007/s10668-022-02252-3. Epub 2022 Mar 17.
Many industrialised countries have benefited from the advent of twenty-first century technologies, especially automation, that have fundamentally changed manufacturing and industrial production processes. The next step in the evolution of automation is the development of artificial intelligence (AI), i.e. intelligence which is demonstrated by machines and systems, which cannot only perform tasks but also work synergistically with humans and nature. Intelligent systems that can see, analyse situations and respond sensitively to real-time cues, from human gestures and facial expressions to pedestrians crossing a busy street, will reshape transportation, precision agriculture, biodiversity conservation, environmental modelling, public health, construction and manufacturing, as well as initiatives designed to promote prosperity on Earth. This paper explores the connections between AI systems and sustainable development (SD) research. By means of a literature review, world survey, and case studies, ways in which AI can support research on SD and, inter alia, contribute to a more sustainable and equitable world, are identified.
许多工业化国家受益于21世纪技术的出现，尤其是自动化，它从根本上改变了制造和工业生产流程。自动化发展的下一步是人工智能（AI）的开发，即由机器和系统展现出的智能，它不仅能执行任务，还能与人类和自然协同工作。能够观察、分析情况并对实时线索做出灵敏反应的智能系统，从人类手势和面部表情到行人穿过繁忙街道，将重塑交通运输、精准农业、生物多样性保护、环境建模、公共卫生、建筑和制造业，以及旨在促进地球繁荣的各项举措。本文探讨了人工智能系统与可持续发展（SD）研究之间的联系。通过文献综述、全球调查和案例研究，确定了人工智能支持可持续发展研究的方式，尤其是有助于创造一个更可持续、更公平的世界。
