Published Paper Details:

The integration of Artificial Intelligence (AI) in addressing climate change presents significant opportunities for tackling this global challenge. This review examines the use of AI in climate modeling, optimizing renewable energy, reducing carbon footprints, and environmental monitoring. It emphasizes AI's role in improving prediction accuracy, optimizing energy systems, reducing emissions, and enhancing monitoring capabilities. Despite its potential, AI's contribution to climate mitigation faces obstacles such as data gaps, high computational costs, and the need for interdisciplinary collaboration. This analysis underscores the importance of improving data quality, developing energy-efficient AI algorithms, and fostering interdisciplinary connections to fully leverage AI's potential for a sustainable future. Strategic decision-making and evidence-based governance are crucial for maximizing the benefits of AI while minimizing its environmental impact..