EXTENDED ABSTRACT
The steel industry, as one of the fundamental pillars of the global economy, faces numerous challenges, including environmental pollution, especially air pollution. This industry contributes significantly to greenhouse gas emissions and air and water pollution. Recent research shows that the use of new technologies, especially artificial intelligence, can help improve environmental conditions and reduce pollution. The aim of this study is to investigate the application of artificial intelligence in reducing air pollution and improving sustainability in the steel industry. This research seeks to identify opportunities in this field and provide suggestions for investment and improving environmental conditions. This study is a descriptive analytical and library type that used the scientific databases Google Scholar and Scopus to collect articles related to artificial intelligence, the steel industry, and environmental pollution. In total, 90 articles were selected and reviewed as primary sources. The results show that artificial intelligence can help optimize production processes, predict maintenance, and quality control in the steel industry. This technology helps reduce the negative impacts of the steel industry on the environment, especially air pollution, by identifying sources of pollution and predicting trends. Steel companies also use artificial intelligence to optimize processes and reduce environmental pollution, especially air pollution and waste. The use of modern technologies and artificial intelligence also improves product quality, reduces environmental pollution, and reduces costs; therefore, investing in this area can help improve environmental conditions and increase efficiency in the steel industry, leading to a reduction in air pollution.

The steel industry, as one of the fundamental pillars of the global economy, faces numerous challenges, including environmental pollution, especially air pollution. This industry contributes significantly to greenhouse gas emissions and air and water pollution. Recent research shows that the use of new technologies, especially artificial intelligence, can help improve environmental conditions and reduce pollution. The aim of this study is to investigate the application of artificial intelligence in reducing air pollution and improving sustainability in the steel industry. This research seeks to identify opportunities in this field and provide suggestions for investment and improving environmental conditions. This study is a descriptive analytical and library type that used the scientific databases Google Scholar and Scopus to collect articles related to artificial intelligence, the steel industry, and environmental pollution. In total, 90 articles were selected and reviewed as primary sources. The results show that artificial intelligence can help optimize production processes, predict maintenance, and quality control in the steel industry. This technology helps reduce the negative impacts of the steel industry on the environment, especially air pollution, by identifying sources of pollution and predicting trends. Steel companies also use artificial intelligence to optimize processes and reduce environmental pollution, especially air pollution and waste. The use of modern technologies and artificial intelligence also improves product quality, reduces environmental pollution, and reduces costs; therefore, investing in this area can help improve environmental conditions and increase efficiency in the steel industry, leading to a reduction in air pollution.



Introduction


Given the challenges and opportunities in the steel industry, this study seeks to identify effective solutions to reduce the negative impacts of steel production on the environment. It also examines how to invest in new technologies and improve data infrastructure to contribute to sustainable development and reduce air pollution. The use of artificial intelligence as a key tool in strategic management and process optimization can lead to improved environmental conditions and increased quality of life in communities related to the steel industry. The purpose of this study is to investigate the application of artificial intelligence in reducing air pollution and improving sustainability in the steel industry.

Materials and methods

This is a descriptive library and analytical study that was used to collect articles related to artificial intelligence, the steel industry, and environmental pollution from scientific databases such as Google Scholar and Scopus. The selected articles included research and review articles published between 2020 and 2025. Of the initial 500 articles, 100 articles were removed due to irrelevance to the topic, 200 articles due to low quality, and 50 articles due to lack of access to the full text. Finally, 90 articles of suitable quality were selected for the final analysis. These articles were divided into three main categories: applications of artificial intelligence in steel production (45 articles), quality control and process improvement (30 articles), and environmental pollution (15 articles), which examined the modeling and reduction of environmental pollution in the steel industry.

Results and discussion

The steel industry has significant environmental impacts, including air, water, and soil pollution. Steelmaking furnaces, especially blast furnaces and electric arc furnaces, are major sources of greenhouse gas emissions and other pollutants. These furnaces produce carbon dioxide, carbon monoxide, and nitrogen oxides, which contribute to climate change and health problems. In addition, industrial wastewater containing toxic chemicals and heavy metals can contaminate groundwater and soil resources, posing a threat to public health. Artificial intelligence, as a new tool, can play a significant role in reducing these negative impacts. Using advanced algorithms and big data analytics, artificial intelligence can help optimize production processes, predict maintenance, and control quality. This technology identifies sources of pollution, predicts trends, and optimizes processes, which in turn leads to reduced waste and improved environmental performance. Companies like ArcelorMittal and Tata Steel are using AI to optimize processes, predict equipment replacement times, and control emissions. These measures help reduce energy consumption and improve product quality. For example, ArcelorMittal uses machine learning algorithms to analyze dust data and determine the optimal time to collect it. In addition, the use of modern wastewater treatment technologies and environmental management systems can help reduce pollution and improve environmental conditions. AI can also help raise awareness among workers and managers about complying with environmental standards. Overall, AI, as a powerful tool in the steel industry, can help reduce pollution and waste and help companies improve their environmental performance. This approach not only helps protect the environment, but can also lead to increased productivity and reduced costs.

Conclusion

This article examines the application of artificial intelligence in the steel industry and its impact on reducing environmental pollution. Artificial intelligence helps optimize production processes by identifying and managing sources of pollution. Using machine learning algorithms and sensors, industries can analyze and monitor data related to pollutant emissions. These measures not only help reduce air pollution and improve public health, but also increase the competitiveness and efficiency of the steel industry in the global market. Investment in artificial intelligence technologies can be a successful model for other industries.