Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys
Metadatos
Mostrar el registro completo del ítemAutor
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, FranciscoEditorial
MDPI
Materia
Sustainable Development Goals Artificial intelligence Emerging digital technologies Decision making
Fecha
2021-05-27Referencia bibliográfica
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]
Patrocinador
University of Granada - Ferrovial S.A. OTRI-4408; Royal Academy of Engineering of Spain - Ferrovial S.A. OTRI-4408; Spanish Government fellowship programme Juan de la Cierva Incorporacion IJC2018-036092-IResumen
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.