The Role of Artificial Intelligence in Climate Change Mitigation and Disaster Prediction
Аннотация
The interaction between humans and the environment is crucial for the survival of ecosystems and human societies. Understanding the impact of human activities, particularly carbon dioxide (CO2) emissions, on climate change is essential for developing effective mitigation strategies. This study investigates the role of artificial intelligence (AI) in addressing climate change by enhancing disaster prediction, optimizing energy consumption, and reducing emissions. AI applications in weather forecasting and disaster management provide accurate, real-time data, enabling proactive responses to extreme weather events and natural disasters. Additionally, AI-driven energy optimization can support the transition to renewable energy sources and improve efficiency in industrial and urban systems. Complementary strategies, such as reforestation and sustainable resource management, further contribute to emission reduction. The findings emphasize that technological solutions alone are insufficient; coordinated global efforts and policy implementation are critical to achieve sustainable outcomes. By integrating AI with ecological and societal measures, it is possible to mitigate the adverse effects of climate change and enhance resilience to environmental challenges. This research underscores the transformative potential of AI in climate action, highlighting that innovative technological interventions, when combined with sustainable practices, can significantly improve global climate mitigation efforts. The study provides evidence that leveraging AI in conjunction with human-driven environmental strategies offers a practical pathway toward a sustainable and resilient future.