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

Author

Listed:
  • Sergio Alonso

    (Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Rosana Montes

    (Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Daniel Molina

    (Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Iván Palomares

    (Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
    Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 70101, Taiwan)

  • Eugenio Martínez-Cámara

    (Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Manuel Chiachio

    (Department of Structural Mechanics and Hydraulic Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Juan Chiachio

    (Department of Structural Mechanics and Hydraulic Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Francisco J. Melero

    (Department of Software Engineering, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Pablo García-Moral

    (Faculty of Arts, University of Granada, 18071 Granada, Spain)

  • Bárbara Fernández

    (Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain)

  • Cristina Moral

    (Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain)

  • Rosario Marchena

    (Ferrovial S.A., C/ Principe de Vergara 135, 28002 Madrid, Spain)

  • Javier Pérez de Vargas

    (Royal Academy of Engineering of Spain (RAES), 28005 Madrid, Spain)

  • Francisco Herrera

    (Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain
    Royal Academy of Engineering of Spain (RAES), 28005 Madrid, Spain)

Abstract

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.

Suggested Citation

  • Sergio Alonso & Rosana Montes & Daniel Molina & Iván Palomares & Eugenio Martínez-Cámara & Manuel Chiachio & Juan Chiachio & Francisco J. Melero & Pablo García-Moral & Bárbara Fernández & Cristina Mor, 2021. "Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys," Sustainability, MDPI, vol. 13(11), pages 1-27, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6038-:d:563253
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    References listed on IDEAS

    as
    1. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    2. S. Alonso & E. Herrera-Viedma & F. Chiclana & F. Herrera, 2009. "Individual And Social Strategies To Deal With Ignorance Situations In Multi-Person Decision Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 313-333.
    3. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    4. Matthew J Salganik & Karen E C Levy, 2015. "Wiki Surveys: Open and Quantifiable Social Data Collection," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. A. Jiran Meitei & Pratibha Rai & S. S. Rajkishan, 2025. "Application of AI/ML techniques in achieving SDGs: a bibliometric study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 281-317, January.
    2. Angélica Pigola & Priscila Rezende da Costa & Luísa Cagica Carvalho & Luciano Ferreira da Silva & Cláudia Terezinha Kniess & Emerson Antonio Maccari, 2021. "Artificial Intelligence-Driven Digital Technologies to the Implementation of the Sustainable Development Goals: A Perspective from Brazil and Portugal," Sustainability, MDPI, vol. 13(24), pages 1-28, December.

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