Selected Applications of Artificial Intelligence in Pursuing the Sustainable Development Goals
Akinsolu, Mobayode O., Ezechi, Chekwube, Sakpere, Wilson and Sun, Mingwei (2025) Selected Applications of Artificial Intelligence in Pursuing the Sustainable Development Goals. In: Emerging Technologies for Developing Countries. Springer Cham, Cham, Switzerland, pp. 65-89. ISBN 1867-822X
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Abstract
This paper presents an exploratory study to provide a broad outline of how AI-facilitated strategies are advancing or aiding in the accomplishment of the Sustainable Development Goals (SDGs), serving as an introduction to such a prospective analysis. In particular, this paper highlights the advancements in areas such as (1) AI-powered medical diagnostics and disease forecasting for enhanced health and well-being, (2) AI-mediated educational interactions for enriched learning experiences in tertiary institutions, (3) AI-supported prompt detection of oil spills to mitigate pollution, and (4) AI-informed predictions of urban land use and cover changes, along with other modern AI applications. These examples are briefly examined and demonstrate that AI-driven methods surpass conventional approaches in accuracy, efficiency, optimization, decision-making, and predictive capabilities. Concentrating on the SDGs, the insights provided in this paper support the data-backed claim that AI-centric paradigms are closely linked with intelligent decision-making, which can, in turn, contribute to the effective and resilient design, implementation, and strategizing of our planet's future sustainability.
| Item Type: | Book Section |
|---|---|
| Keywords: | Artificial Intelligence, Sustainability, Sustainable Development Goals (SDGs) |
| Divisions: | Applied Science, Computing and Engineering |
| Depositing User: | Hayley Dennis |
| Date Deposited: | 11 Dec 2025 14:10 |
| Last Modified: | 11 Dec 2025 14:10 |
| URI: | https://wrexham.repository.guildhe.ac.uk/id/eprint/18382 |
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