Artificial Intelligence (AI) and the Prediction of Climate Change Impacts

This comprehensive review analyses the confluence of Artificial Intelligence (AI) and climate change anticipation, examining the possibilities of AI approaches in forecasting and mitigating the effects of climate change. The research delves into diverse AI implementations, including machine learning algorithms, neural networks, and data extraction, employed in climate simulation, weather projection, and ecological surveillance. By analysing vast datasets, AI algorithms enhance our understanding of climate patterns, enabling accurate predictions of extreme weather events, sea-level rise, and ecosystem shifts. The review also assesses the challenges and ethical considerations associated with AI implementation in climate science, emphasizing the importance of responsible AI development. The integration of AI technologies in climate change research signifies a significant leap toward proactive adaptation and sustainable decision-making, offering invaluable insights for policymakers and researchers striving to address the global climate crisis.