A dominant AI instrument indeed takes the lead in the sustainability sector, being able to resolve very significant global problems like climate change, loss of biodiversity, and resource inefficiency. The presence of AI in sustainability programs is very welcome, but then always raises serious ethical, social, and governance issues. The selection of organizations that participated in the survey and the list of respondents of the semi-structured interviews make up the materials for this research. Ethics is the primary concern noticed at the interface between AI and sustainability. Challenges are also enumerated that include algorithmic opacity, accountability gaps, the marginalization of indigenous knowledge, and a focus on efficiency that sometimes disregards equity. However, let us examine them more closely, one by one. The problems may drive the inequalities in the system to a worse level if they are not restrained. The method we propose is a comprehensive framework of five ethical pillars, like openness, responsibility, inclusivity, environmental stewardship, and interdisciplinary collaboration, that can lead to the ethical integration of AI into sustainability practices. This study emphasizes that there is the most basic and most important practicality in having a fair governance system, and at the same time allows for the technologically driven society of tomorrow. The positive effect that arises from the use of a system that is multi-faceted in its inception and depicts a fairer society is that the very basis of the negation of both human rights and dignity will be removed.