ArticleApplied intelligence (Dordrecht, Netherlands)2021
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Article in Applied intelligence (Dordrecht, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Harnessing artificial intelligence for sustainable urban development: advancing the three Zeros method through innovation and infrastructure.Scientific reports · 2025Article
- Article
- A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities.Frontiers in artificial intelligence · 2024Review
- The World Economy's Development After the COVID-19 Crisis: Sustainability and Stability vs. Quick Digital Growth.Journal of the knowledge economy · 2023Article
- Ethical principles for artificial intelligence in education.Education and information technologies · 2023Article
- SDG-11 and smart cities: Contradictions and overlaps between social and environmental justice research agendas.Frontiers in sociology · 2022Review
- Artificial Intelligence-Based Recommendation and Application of Public Services in Smart Cities.Computational intelligence and neuroscience · 2022Article
- Deep Intelligence-Driven Efficient Forecasting for the Agriculture Economy of Computational Social Systems.Computational intelligence and neuroscience · 2022Article
- Role of Knowledge Management on the Sustainable Environment: Assessing the Moderating Effect of Innovative Culture.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.