Using AI to Reduce the Economic Impact of Air Pollution

Paper's objective(s) and research backgroundThe main objective of the paper is to demonstrate how Artificial Intelligence (AI) can help reduce the economic impact of air pollution, through prediction of pollution levels, optimizing countermeasures, and mitigating health-related cost associated with poor air quality.As AI is among the fastest growing technologies in human history, it can also aid in issues associated with poor air quality.More than half of the world's population lives in cities, and the majority have to deal with the same problem of poor air quality.Nitrogen oxides and fine dust, in particular, often exceed the permitted limits and residents, especially children and the elderly, suffer health consequences.It is therefore not only an environmental problem, but also an economic one, in terms of the burden on public finances in the health system, and the paper's objective is to focus on this problem. Data/MethodsThe data sources include governmental environmental monitoring agencies and own air quality monitoring stations at four locations in Slovakia.Data are presenting pollutants PM2.5 and PM10 measured hourly.The dataset was processed using AI tools, including chatGPT.Results/Conclusions/Value added AI can play an important role in reducing the economic impact of air pollution through various applications and solutions such as early warning systems, air quality monitoring, traffic management, control of industrial emissions, assessment of population health impacts and public information or education.The study proposes the possibilities of using AI tools in the elimination of air pollution in the conditions of Slovakia.