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The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study

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  • Simon Ofori Ametepey

    (Centre for Sustainable Development (CenSUD), Koforidua Technical University, Koforidua 03420, Ghana
    Department of Construction Management and Quantity Surveying, Faculty of Engineering and Built Environment, University of Johannesburg, Johannesburg 2094, South Africa
    Department of Building Technology, Faculty of Built Environment, Koforidua Technical University, Koforidua 03420, Ghana)

  • Clinton Aigbavboa

    (Department of Construction Management and Quantity Surveying, Faculty of Engineering and Built Environment, University of Johannesburg, Johannesburg 2094, South Africa)

  • Wellington Didibhuku Thwala

    (Department of Civil Engineering, Faculty of Engineering, Built Environment and Information Technology, Walter Sisulu University, East London 5200, South Africa)

  • Hutton Addy

    (Centre for Sustainable Development (CenSUD), Koforidua Technical University, Koforidua 03420, Ghana)

Abstract

Artificial intelligence emerges as a powerful catalyst poised to reshape the global sustainability landscape by facilitating the attainment of Sustainable Development Goals (SDGs). This comprehensive Delphi study meticulously probes the insights of domain experts, shedding light on the strategic utilization of AI to advance these critical sustainability objectives. Employing rigorous statistical techniques, encompassing measures of central tendency and interquartile deviation, this research scrutinizes consensus dynamics among experts and elucidates potential variations in their viewpoints. The findings resoundingly convey experts’ collective positive perspective regarding AI’s pivotal role in propelling the SDGs forward. Through two iterative rounds of extensive discussions, a compelling consensus crystallizes—AI indeed exerts an overall positive impact, exemplified by a robust mean score of 78.8%. Intriguingly, distinct SDGs manifest varied propensities toward AI intervention, with Goals 6, 7, 8, 9, 11, 13, 14, and 15 basking in the radiance of highly positive impacts. Goals 1, 2, 3, 4, 5, 10, and 12 exhibit positive impact scores, indicating a juncture ripe for positive advancements. Meanwhile, Goal 16 and Goal 17 languish with neutral scores, signifying a juncture demanding nuanced deliberations about AI’s impact on peace, justice, and strong institutions as well as on partnerships for the goals, respectively. This paper underscores AI as a formidable instrument poised to address humanity’s most pressing challenges while harmonizing seamlessly with the overarching SDG objectives. It gracefully dovetails into established practices across pivotal domains such as health, education, and resilient infrastructures, amplifying the collective global endeavor to navigate the path toward a more sustainable future.

Suggested Citation

  • Simon Ofori Ametepey & Clinton Aigbavboa & Wellington Didibhuku Thwala & Hutton Addy, 2024. "The Impact of AI in Sustainable Development Goal Implementation: A Delphi Study," Sustainability, MDPI, vol. 16(9), pages 1-76, May.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:9:p:3858-:d:1388673
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    References listed on IDEAS

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    1. Francesco Fuso Nerini & Julia Tomei & Long Seng To & Iwona Bisaga & Priti Parikh & Mairi Black & Aiduan Borrion & Catalina Spataru & Vanesa Castán Broto & Gabrial Anandarajah & Ben Milligan & Yacob Mu, 2018. "Mapping synergies and trade-offs between energy and the Sustainable Development Goals," Nature Energy, Nature, vol. 3(1), pages 10-15, January.
    2. Dingler, Annika & Enkel, Ellen, 2016. "Socialization and innovation: Insights from collaboration across industry boundaries," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 50-60.
    3. Shivam Gupta & Jazmin Campos Zeballos & Gema del Río Castro & Ana Tomičić & Sergio Andrés Morales & Maya Mahfouz & Isimemen Osemwegie & Vicky Phemia Comlan Sessi & Marina Schmitz & Nady Mahmoud & Mnen, 2023. "Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development," Sustainability, MDPI, vol. 15(8), pages 1-37, April.
    4. David Jungwirth & Daniela Haluza, 2023. "Artificial Intelligence and Public Health: An Exploratory Study," IJERPH, MDPI, vol. 20(5), pages 1-12, March.
    5. Tara Caetano & Harald Winker & Joanna Depledge, 2020. "Towards zero carbon and zero poverty: integrating national climate change mitigation and sustainable development goals," Climate Policy, Taylor & Francis Journals, vol. 20(7), pages 773-778, July.
    6. Shin-Cheng Yeh & Ai-Wei Wu & Hui-Ching Yu & Homer C. Wu & Yi-Ping Kuo & Pei-Xuan Chen, 2021. "Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals," Sustainability, MDPI, vol. 13(16), pages 1-34, August.
    7. 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.
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