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.

联合国 2030 年议程确立的 17 项可持续发展目标 (SDG) 构成了全球蓝图议程和全球和平与繁荣的工具。过去几年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，他们目前在追求或阻碍可持续发展目标方面的作用变得至关重要也就不足为奇了。本研究旨在提供关于人工智能技术与可持续发展目标之间关系的进展和前景的快照和全面视图。首先对现有文献进行了全面回顾，然后进行了一系列 SWOT（优势、劣势、机会和威胁）分析以确定优势，人工智能驱动技术所固有的弱点、机遇和威胁是每个可持续发展目标的促进因素或障碍。基于这些分析的结果，随后从位置优势提供了更广泛的分析，以（i）确定在可持续发展目标中应用人工智能技术方面所做的努力，（ii）确定在当前十年内取得进一步进展的机会，以及（ iii) 提炼当前的挑战和目标领域以取得重要进展。分析分为人类需求的六个类别或观点：生活、经济和技术发展、社会发展、平等、资源和自然环境。最后，就前景进行了总结讨论，