To deal with the current development of global confront, air pollution persists with serious impacts on health and ecosystem sustainability. To overcome this challenge, the application of artificial intelligence (AI) in air monitoring has established a path of revolution by making it preventive in nature, proactive, and efficient as well. This chapter explains an assortment of emergent AI technologies such as machine learning, neural networks, and big data analytics that have transformed the scope of air quality monitoring. AI set aside an enhanced scope for speedy processing of information through the powers of computation, providing insight into heterogeneous data, including satellite images, sensors deployed in the environment, and weather conditions by predicting air quality. The current chapter also elucidates some of the future attempts of AI to change existing laws and some of the ways that would assign more flexibility in air quality regulatory control and planning for better urbanization. It also discusses air quality monitoring as a human rights issue, and active citizen involvement on live pollution management through mobile communities, citizen applications, and AI. It is the ethical concerns of AI with regard to air quality management that justify the whole process behind focusing on developing AI solutions and using them responsibly. There should be algorithmic accountability, on one hand, whereas data confidentiality, equitable data access, on the other. This chapter connects well between development and use of AI solutions in a responsible manner and major public involvement, respect for ethical principles, and the existence of clear policies. To address the global challenge, the use of artificial intelligence is alleviated in all aspects.