Beyond the traditional fields of mathematics and computer science, the usage of artificial intelligence and its different components is expanding quickly across a wide range of fields of study nowadays. A bibliometric study of studies on artificial intelligence and risk management is presented in this article in order to better understand how artificial intelligence is applied in the field of risk management, to find correlations and underlying trends in the literature, and to determine any possible gaps in the research. Through a review of scholarly literature over the past few decades, the study pinpoints important themes, significant writers, significant organizations, and the most productive nations in this developing subject. According to the analysis, the number of articles has grown exponentially, indicating a growing interest in using artificial intelligence in risk management. The application of natural language processing methods for risk analysis, decision support systems, and machine learning algorithms for risk prediction are often debated subjects. According to the findings, China and the United States dominate the world in terms of publishing volume, with India coming in third. Some universities are more notable than others for their contributions to science. Universities, research institutes, and technology businesses are strongly dependent on one another when it comes to cooperation. For researchers and practitioners interested in the effects of artificial intelligence on risk management, this bibliometric analysis concludes by offering a thorough overview of the development and current status of research on artificial intelligence and risk management.