Artificial Intelligence (AI) is transforming humanitarian efforts, offering new possibilities for disaster response, healthcare delivery, and resource distribution. This chapter explores the dual-edged nature of AI in humanitarian contexts, highlighting its potential to improve efficiency and outcomes while also presenting significant risks and challenges. Through real-world examples, such as AI-driven disaster response during the Nepal earthquake and refugee management in the Rohingya crisis, the chapter illustrates both the successes and pitfalls of AI integration. Key considerations include the importance of data quality, the need for continuous model refinement, and the balance between AI and human expertise. Ethical concerns, particularly regarding algorithmic bias and privacy, are also discussed. The chapter concludes with lessons learned and recommendations for future AI deployment in humanitarian operations, emphasizing the need for robust infrastructure and the careful management of AI’s capabilities to ensure its benefits are fully realized while minimizing harm.