Algorithmic Justice and Public Belief: An Ethical Review of AI Implementation on Discord Digital Elections In Nepal

This study discusses the implementation of artificial intelligence in digital elections through the Discord platform in Nepal with a focus on algorithmic justice and public service as key ethical issues. The analysis was conducted using the social reality construction theory of Peter L. Berger and Thomas Luckmann, which views the process of externalization, objectification, and internalization as a framework for understanding how technology, algorithms, and public perception intersect with each other in digital political reality. The results show that AI has the potential to increase efficiency and voter participation, but data bias, access inequality, and social construction of technology can affect perceptions of justice and representation of marginalized groups. These findings underscore the need for algorithmic transparency, independent oversight, and data protection to ensure that political realities formed through digital systems remain inclusive and in line with the principles of public welfare.