Artificial Intelligence (AI) in Waste Management: A New Era of Smart and Sustainable Systems

Abstract

Rapid urbanization, population growth and changing consumption patterns have intensified the global waste crisis, placing immense pressure on conventional waste management systems. Artificial Intelligence (AI) has emerged as a transformative tool capable of improving efficiency, accuracy and sustainability across the entire waste management chain. This article reviews the role of AI in waste generation forecasting, smart collection, automated segregation, optimized transportation, disposal and real-time monitoring. Applications of machine learning, artificial neural networks, computer vision and Internet of Things (IoT)-based sensing are highlighted with practical examples. While AI-driven systems offer significant environmental and economic benefits, challenges related to data quality, infrastructure cost, privacy, cybersecurity and algorithmic bias must be addressed for large-scale adoption. Integrating AI with robust policy frameworks and capacity building can enable smarter, cleaner and more resilient waste management systems.