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dc.contributor.authorPalomares, Iván
dc.contributor.authorMartínez Cámara, Eugenio 
dc.contributor.authorMontes, Rosana
dc.contributor.authorGarcía Moral, Pablo
dc.contributor.authorChiachío, Manuel
dc.contributor.authorChiachío, Juan
dc.contributor.authorAlonso Burgos, Sergio 
dc.contributor.authorMelero Rus, Francisco Javier 
dc.contributor.authorMolina Cabrera, Daniel 
dc.contributor.authorFernández, Bárbara
dc.contributor.authorMoral, Cristina
dc.contributor.authorMarchena, Rosario
dc.contributor.authorPérez de Vargas, Javier
dc.contributor.authorHerrera Triguero, Francisco 
dc.date.accessioned2026-03-01T09:34:58Z
dc.date.available2026-03-01T09:34:58Z
dc.date.issued2021-06-11
dc.identifier.urihttps://hdl.handle.net/10481/111729
dc.description.abstractThe 17 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.es_ES
dc.description.sponsorshipThis work was supported by the contract OTRI-4408 between the University of Granada and the Royal Academy of Engineering of Spain financed by Ferrovial S.A. Eugenio Martınez Camara was supported by the Spanish Government fellowship programme Juan de la Cierva Incorporacion (IJC2018-036092-I)es_ES
dc.language.isoenges_ES
dc.publisherApplied Intelligencees_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsdges_ES
dc.subjectSustainable development goalses_ES
dc.subjectArtificial intelligencees_ES
dc.subjectEmerging digital technologieses_ES
dc.titleA panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospectses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doihttps://doi.org/10.1007/s10489-021-02264-y
dc.type.hasVersionAMes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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