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到2030年实现可持续发展目标的人工智能全景与SWOT分析:进展与前景

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.

作者信息

Palomares Iván, Martínez-Cámara Eugenio, Montes Rosana, García-Moral Pablo, Chiachio Manuel, Chiachio Juan, Alonso Sergio, Melero Francisco J, Molina Daniel, Fernández Bárbara, Moral Cristina, Marchena Rosario, de Vargas Javier Pérez, Herrera Francisco

机构信息

Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain.

Department of Computer Science and Information Engineering, National Cheng Kung University, 70101 Tainan, Taiwan.

出版信息

Appl Intell (Dordr). 2021;51(9):6497-6527. doi: 10.1007/s10489-021-02264-y. Epub 2021 Jun 11.

Abstract

The17 Sustainable Development Goals (SDGs) established by the United Nations Agenda 2030 constitute a global blueprint agenda and instrument for peace and prosperity worldwide. Artificial intelligence and other digital technologies that have emerged in the last years, are being currently applied in virtually every area of society, economy and the environment. Hence, it is unsurprising that their current role in the pursuance or hampering of the SDGs has become critical. This study aims at providing a snapshot and comprehensive view of the progress made and prospects in the relationship between artificial intelligence technologies and the SDGs. A comprehensive review of existing literature has been firstly conducted, after which a series SWOT (Strengths, Weaknesses, Opportunities and Threats) analyses have been undertaken to identify the strengths, weaknesses, opportunities and threats inherent to artificial intelligence-driven technologies as facilitators or barriers to each of the SDGs. Based on the results of these analyses, a subsequent broader analysis is provided, from a position vantage, to (i) identify the efforts made in applying AI technologies in SDGs, (ii) pinpoint opportunities for further progress along the current decade, and (iii) distill ongoing challenges and target areas for important advances. The analysis is organized into six categories or perspectives of human needs: life, economic and technological development, social development, equality, resources and natural environment. Finally, a closing discussion is provided about the prospects, key guidelines and lessons learnt that should be adopted for guaranteeing a positive shift of artificial intelligence developments and applications towards fully supporting the SDGs attainment by 2030.

摘要

联合国《2030年议程》确立的17项可持续发展目标构成了一份全球蓝图议程以及实现全球和平与繁荣的工具。近年来出现的人工智能和其他数字技术目前正应用于社会、经济和环境的几乎每个领域。因此,它们目前在追求或阻碍可持续发展目标方面所起的作用变得至关重要也就不足为奇了。本研究旨在对人工智能技术与可持续发展目标之间的关系所取得的进展和前景提供一个简要而全面的概述。首先对现有文献进行了全面回顾,之后进行了一系列SWOT(优势、劣势、机会和威胁)分析,以确定人工智能驱动技术作为实现各项可持续发展目标的促进因素或障碍所固有的优势、劣势、机会和威胁。基于这些分析结果,从一个有利的角度进行了后续更广泛的分析,以(i)确定在将人工智能技术应用于可持续发展目标方面所做的努力,(ii)指出在当前十年进一步取得进展的机会,以及(iii)提炼当前的挑战和重要进展的目标领域。该分析分为人类需求的六个类别或视角:生活、经济和技术发展、社会发展、平等、资源和自然环境。最后,针对确保人工智能的发展和应用朝着到2030年全面支持实现可持续发展目标的积极转变应采用的前景、关键指导方针和经验教训进行了总结讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e79/8192224/f26c10693a9e/10489_2021_2264_Fig1_HTML.jpg

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