Abstract
Artificial intelligence (AI) plays a crucial role in advancing environmental sustainability by optimizing resource management, improving climate modeling, and supporting green technologies. This study explores the applications of AI techniques, including machine learning, deep learning, and expert systems, in monitoring environmental changes, predicting climate patterns, and enhancing energy efficiency. The paper highlights AI-driven approaches for reducing carbon emissions, managing renewable energy systems, and analyzing air and water quality data. Additionally, the research discusses ethical considerations and future prospects of AI in promoting sustainable development and mitigating environmental risks. The findings emphasize AI's transformative potential in addressing global environmental challenges and fostering a more sustainable future.