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Abstract: Growing
concerns about climate change, environmental degradation, and resource
depletion have intensified global efforts to identify sustainable development
pathways. Among emerging technologies, artificial intelligence (AI) has drawn
attention for its potential to improve environmental governance, optimize
resource allocation, and support low-carbon economic systems. Using data
analytics, predictive modeling, and automated decision-making, AI offers
opportunities to enhance efficiency in renewable energy, agriculture,
environmental monitoring, and urban infrastructure.
This paper examines how AI could advance sustainable and green economic development in Liberia. Using qualitative analysis based on secondary data and scholarly literature, it evaluates opportunities and constraints for AI implementation in renewable energy, sustainable agriculture, and environmental conservation. It also identifies structural barriers, including limited digital infrastructure, shortages of technical expertise, and evolving institutional frameworks.
The
analysis highlights that while AI can strengthen sustainability initiatives,
its effectiveness depends on complementary investments in infrastructure,
education, and governance. The paper contributes to existing research by
contextualizing AI-sustainability debates within Liberia, identifying
sector-specific applications, and assessing the institutional conditions
required for successful adoption. DOI: http://dx.doi.org/10.51505/ijaemr.2026.11219 |
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