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A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192224/ https://www.ncbi.nlm.nih.gov/pubmed/34764606 http://dx.doi.org/10.1007/s10489-021-02264-y |
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author | 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 |
author_facet | 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 |
author_sort | Palomares, Iván |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8192224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81922242021-06-11 A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects 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 Appl Intell (Dordr) Article 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. Springer US 2021-06-11 2021 /pmc/articles/PMC8192224/ /pubmed/34764606 http://dx.doi.org/10.1007/s10489-021-02264-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article 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 A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title_full | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title_fullStr | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title_full_unstemmed | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title_short | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
title_sort | panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192224/ https://www.ncbi.nlm.nih.gov/pubmed/34764606 http://dx.doi.org/10.1007/s10489-021-02264-y |
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