The conducted research within this master thesis was prompted by the global crisis, the COVID-19 pandemic, and analyzes the functions of crisis management, artificial intelligence, and their interaction. The aim of this paper is to explore how artificial intelligence can enhance crisis management processes by examining its specific applications in crisis prevention, preparedness for crisis, crisis identification, and reactive response phases. An analysis of relevant literature shows that artificial intelligence can significantly improve the functions of anticipatory crisis management through its support in designing of efficient scenario analysis, communication plans, and early warning systems. During the phases of crisis identification and reactive response, artificial intelligence stands out for its ability to process large amounts of data in a short period which helps in detecting a crisis and overcoming the same. Case studies on the use of artificial intelligence systems in managing the COVID-19 pandemic confirm that artificial intelligence can greatly enhance the discipline of crisis management. However, this paper highlights challenges such as the lack of evaluation of new artificial intelligence systems and the interpretation of results in the development of drugs and vaccines during the last pandemic. Transparency, system evaluation, and further research are recommended to maximize the utility of artificial intelligence in overcoming future crisis situations.