ARTIFICIAL INTELLIGENCE FOR ENVIRONMENTAL SUSTAINABILITY: APPLICATIONS AND IMPACTS

Artificial Intelligence (AI) has been emerging as a powerful tool for solving some of the pressing environmental challenges and for sustainable development․ This paper aims at exploring the potential applications and implications of AI for achieving environmental sustainability specifically focusing on resource optimization‚ pollution control and climate change mitigation․ A key priority is to study and evaluate the application of AI-enabled technologies in effective environmental governance and decision-making․ A qualitative research approach and a research method of analysis are adopted in this research‚ and a thorough literature review was conducted on research papers‚ industry reports‚ and case studies that deal with the applications of AI-enabled solutions in renewable energy systems‚ smart agriculture‚ waste management‚ and environmental monitoring․ Secondary data‚ including academic literature‚ industry publications‚ and government documents‚ are analyzed to provide evidence of the impact and limits of AI․ Additional contributions are areas in which AI can improve the efficiency of energy consumption (predictive analytics)‚ precision agriculture (water and fertilizer optimization)‚ environmental monitoring (pollution monitoring such as air and water quality)‚ better climate modeling‚ and risk assessment and environmental policy design․ It also identifies challenges such as high implementation costs‚ concerns about data privacy‚ and the environmental effects of the AI infrastructure itself․