Floods, earthquake, fire, and explosions are just a few examples of the many natural and man-made hazards that have the potential to inflict significant socioeconomic loss and damage. In recent years, an upward trend in terms of the damage and loss caused by such hazards was discovered to be occurring. As a direct consequence of this, a significant number of disaster managers are drawn to the field of disaster management in order to establish effective management techniques with which to defend their communities. Several research projects with an application of Artificial Intelligence (AI) techniques to analyze data connected to disasters with the purpose of supporting informed disaster management were discovered. This study's objective is to conduct a literature review on the present applications of artificial intelligence (AI) in disaster management for the objectives of limiting the effects of disasters, planning for them, reacting to them, and recovering from them. In it, examples of applications of various AI techniques and their benefits for supporting disaster management at different phases are offered. Additionally, some practical decision support tools that are based on AI are also provided in this document. Most of the studies were focused on AI application in the response phase of disaster management. This study helps to identify the challenges in application of AI techniques to the researchers in their future research work.