Integrating AI Approaches in Teaching-Learning Associated with the Mitigation of Air Pollution: A Comprehensive Analysis

Abstract

Pollution is a major hazard to ecosystems, human health, and the stability of the global climate. Acknowledging the shortcomings of traditional methods, this thorough examination investigates the incorporation of Artificial Intelligence (AI) as a revolutionary instrument for reducing air pollution. A summary of the current situation of air pollution is given in this chapter, with a focus on its significant effects. It provides an overview of AI's ability to address environmental issues and lays the groundwork for a full investigation of its uses. This chapter uses satellite technology, sensor networks, and remote sensing to demonstrate how AI is revolutionising air quality monitoring, predictive modelling, and early warning systems. It also emphasizes AI's ability to identify pollution sources, presenting methods for measuring pollution sources and incorporating AI findings into urban planning. It clarifies AI's critical role in influencing public involvement, awareness, and evidence-based policymaking. It provides examples of AI-driven air pollution solutions from around the world, together with best practices and insights into successful projects. It discusses privacy and equality issues as well as ethical issues related to AI in environmental monitoring. It also points the way for upcoming discoveries and lines of inquiry, enabling ongoing progress.