The integration of algorithms and techniques in humanitarian innovation is a double-edged sword: It can significantly improve operational efficiency but at the same time, it could introduce intricate ethical issues which require probing and careful handling. Some of the issues are like algorithmic bias, sureness, and the imperative of transparency must be properly tackled to assure that these technologies reach the marginalized sections without the fundamental precepts of humanitarianism being compromised. This participative process of dealing with the tension of these ethical concerns is the advocacy of justice and accountability as the two fundamental principles within the humanitarian framework. The pervasive deployment of artificial intelligence (AI) across numerous domains has ignited a high number of ethical concerns, particularly in connection with algorithmic bias and the transparency of AI systems. These matters are critically important, particularly in social computing applications, where AI’s decision-making can prod major consequences for people, and society at large. By setting clear ethical guidelines and directly involving stakeholders through the whole development process, organizations can deal better with the problems that AI implementation brings. This forward-looking plan not only diminishes risks pertaining to bias but also builds the credibility and trustworthiness of AI both generally and in humanitarian contexts. Not to mention, the establishment of strong monitoring systems along with the permanent evaluation of AI models will give invaluable information about their performance and whether they meet ethical criteria. Transparency and accountability are the foundations upon which organizations can build public trust and responsible and ethical uses of AI technologies in humanitarian projects are achieved. Commitment to ethical behavior deepens the integrity of humanitarian actions in the discovery of new solutions which give power to raise.