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[TEC] AI for Climate action: advancing mitigation and adaptation in developing countries
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This technical paper has been prepared by the Technology Executive Committee (TEC) as part of the TEC rolling workplan 2023-2027. It offers a comprehensive overview for policymakers, practitioners, and researchers navigating opportunities, challenges and risks of the use of AI for climate action in developing countries, with a focus on least developed countries (LDCs) and small island developing States (SIDS).















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The technical paper:




  • Presents the potential of AI in supporting climate change mitigation and adaptation in developing countries, particularly LDCs and SIDS. Potential AI applications include optimizing energy systems, enhancing early warning mechanisms, improving infrastructure planning, and supporting resource and ecosystem management.




  • Introduces barriers and risks to using AI for climate action. The deployment of AI in developing countries face challenges such as inadequate digital infrastructure, limited technical capacity, insufficient access to high-quality climate data, and risks such as concerns regarding algorithmic bias, cybersecurity, and the environmental footprint of AI systems.




  • Provides recommendations such as targeted investments in digital infrastructure and human capacity development, the establishment of inclusive and transparent governance frameworks, the promotion of open-data initiatives, the development of energy-efficient AI systems, and the strengthening of international collaboration to address regulatory and technical gaps.


Acknowledgement: The Technology Executive Committee extends its appreciation to the United Nations Industrial Development Organization and the Ministry of Economy, Trade and Industry of Japan for the generous support provided for the preparation of this technical paper.
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