Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys Alonso Burgos, Sergio Montes Soldado, Rosa Ana Molina Cabrera, Daniel Palomares, Iván Martínez Cámara, Eugenio Chiachío Ruano, Manuel Chiachío Ruano, Juan Melero Rus, Francisco Javier García Moral, Pablo Herrera Triguero, Francisco Sustainable Development Goals Artificial intelligence Emerging digital technologies Decision making 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 Martinez Camara was supported by the Spanish Government fellowship programme Juan de la Cierva Incorporacion (IJC2018-036092-I). 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. 2021-07-05T07:42:09Z 2021-07-05T07:42:09Z 2021-05-27 info:eu-repo/semantics/article Alonso, S... [et al.]. 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] http://hdl.handle.net/10481/69505 10.3390/su13116038 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI