By leveraging machine learning algorithms and big data analysis, AI is able to identify hidden patterns in the data and provide more accurate predictions of possible events. Among the important applications of artificial intelligence in this field are predicting equipment failures, identifying safety risks in work environments, optimizing operational processes, and effectively managing crises. The results of this research show that investing in the development and implementation of AI-based systems can significantly reduce the costs caused by accidents, improve productivity, and increase the level of safety in various industries, and also confirm that artificial intelligence can help to predict risks more accurately and make better decisions by analyzing complex data and learning from past experiences. slowly. However, there are also challenges such as data quality, human-machine interaction, and ethical issues. This research, while examining the successful applications of artificial intelligence in different situations, also deals with the importance of developing legal and ethical frameworks for the safe and effective use of this technology.