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Leveraging Artificial Intelligence for Smarter Climate Policy and Strategic Government Planning

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  • Kolawole Anthony Fayemi

Abstract

The growing challenges posed by climate change require global strategies that exploit emerging technologies, in particular artificial intelligence (AI), to improve the analysis of climatic data and the planning of resilience. AI capabilities in the processing of vast data sets allow the identification of patterns, the forecasting of the impacts related to the climate and the development of targeted mitigation strategies, positioning it as a transformative tool in the fight against climate change (Al-Raeei, 2024). The integration of AI technologies in climatic initiatives not only promotes innovative research methodologies, but also supports decision makers in the formulation of evidence-based policies to navigate the complexities of climatic systems. The effective analysis of climatic data involves the collection, processing and interpretation of a wide range of sources of environmental data. Artificial intelligence techniques such as machine learning, predictive analysis and the processing of natural language allow the analysis of data in real time, which can improve early warning systems, optimize the allocation of resources and facilitate adaptive management in various sectors (Limón et al., 2025). This analytical power is essential to identify climatic risks and vulnerability, thus allowing governments to implement proactive resilience planning efforts.

Suggested Citation

  • Kolawole Anthony Fayemi, 2025. "Leveraging Artificial Intelligence for Smarter Climate Policy and Strategic Government Planning," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 18(6), pages 1-77, November.
    • Handle: RePEc:ibn:jsd123:v:18:y:2025:i:6:p:77
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    References listed on IDEAS

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    1. Lynn H. Kaack & Priya L. Donti & Emma Strubell & George Kamiya & Felix Creutzig & David Rolnick, 2022. "Aligning artificial intelligence with climate change mitigation," Nature Climate Change, Nature, vol. 12(6), pages 518-527, June.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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