A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects
Identificadores
URI: https://hdl.handle.net/10481/111729Metadatos
Mostrar el registro completo del ítemAutor
Palomares, Iván; Martínez Cámara, Eugenio; Montes, Rosana; García Moral, Pablo; Chiachío, Manuel; Chiachío, Juan; Alonso Burgos, Sergio; Melero Rus, Francisco Javier; Molina Cabrera, Daniel; Fernández, Bárbara; Moral, Cristina; Marchena, Rosario; Pérez de Vargas, Javier; Herrera Triguero, FranciscoEditorial
Applied Intelligence
Materia
sdg Sustainable development goals Artificial intelligence Emerging digital technologies
Fecha
2021-06-11Patrocinador
This 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)Resumen
The 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.





