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Article

Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys

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Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
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Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
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Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 70101, Taiwan
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Department of Structural Mechanics and Hydraulic Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
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Faculty of Arts, University of Granada, 18071 Granada, Spain
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Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain
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Royal Academy of Engineering of Spain (RAES), 28005 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Álvaro Herrero, Carlos Cambra, Carlos Alonso de Armiño, Paweł Ksieniewicz and Paolo Gastaldo
Sustainability 2021, 13(11), 6038; https://doi.org/10.3390/su13116038
Received: 21 April 2021 / Revised: 18 May 2021 / Accepted: 21 May 2021 / Published: 27 May 2021
The United Nations Agenda 2030 established 17 Sustainable Development Goals (SDGs) as a guideline to guarantee a sustainable worldwide development. Recent advances in artificial intelligence and other digital technologies have already changed several areas of modern society, and they could be very useful to reach these sustainable goals. In this paper we propose a novel decision making model based on surveys that ranks recommendations on the use of different artificial intelligence and related technologies to achieve the SDGs. According to the surveys, our decision making method is able to determine which of these technologies are worth investing in to lead new research to successfully tackle with sustainability challenges. View Full-Text
Keywords: Sustainable Development Goals; artificial intelligence; emerging digital technologies; decision making Sustainable Development Goals; artificial intelligence; emerging digital technologies; decision making
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MDPI and ACS Style

Alonso, S.; Montes, R.; Molina, D.; Palomares, I.; Martínez-Cámara, E.; Chiachio, M.; Chiachio, J.; Melero, F.J.; García-Moral, P.; Fernández, B.; Moral, C.; Marchena, R.; Pérez de Vargas, J.; Herrera, F. Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability 2021, 13, 6038. https://doi.org/10.3390/su13116038

AMA Style

Alonso S, Montes R, Molina D, Palomares I, Martínez-Cámara E, Chiachio M, Chiachio J, Melero FJ, García-Moral P, Fernández B, Moral C, Marchena R, Pérez de Vargas J, Herrera F. Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys. Sustainability. 2021; 13(11):6038. https://doi.org/10.3390/su13116038

Chicago/Turabian Style

Alonso, Sergio, Rosana Montes, Daniel Molina, Iván Palomares, Eugenio Martínez-Cámara, Manuel Chiachio, Juan Chiachio, Francisco J. Melero, Pablo García-Moral, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, and Francisco Herrera. 2021. "Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys" Sustainability 13, no. 11: 6038. https://doi.org/10.3390/su13116038

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