<p>This study investigates the relationship between artificial intelligence (AI) and humanitarian initiatives, emphasizing the ethical, technical, and societal challenges associated with integrating AI technologies in aid and relief operations. The research examines algorithmic bias, transparency deficits, and infrastructural constraints that impede effective implementation, particularly in resource-limited settings. It assesses the societal consequences of AI adoption, such as workforce displacement, digital inequality, and the perpetuation of existing biases. The analysis demonstrates that although AI can improve efficiency and equity in humanitarian action, its effectiveness relies on balancing technological advancement with ethical considerations. The findings indicate that establishing robust safeguards, ensuring transparency, and prioritizing human-centered AI development are essential for maintaining AI as a means to advance human welfare and prevent increased vulnerabilities. The study achieves its aims by identifying principal challenges and recommending strategies for responsible AI integration, including interdisciplinary collaboration, enhanced digital infrastructure, and the creation of bias-resistant models. The conclusion asserts that coordinated action among governments, engineers, and humanitarian organizations is necessary to realize the transformative potential of AI in delivering effective, inclusive, and ethically sound humanitarian interventions.</p>