Joseph Michael Odhiambo, Mgalla Mvurya, Fullgence Mwakondo and Ngao Mtuku

Abstract

Technology has been increasingly incorporated into previously untapped areas of human existence in recent years, including religion. The purpose of this study is to determine whether it is feasible to use machine learning algorithms in religious groups to find qualified individuals to be priests. A number of fascinating questions concerning the possible contribution of artificial intelligence to ancient customs and practices are brought up by the junction of technology and spirituality. The goal of the research is to create a model that can identify people who possess the aptitude and characteristics needed for a life devoted to religious service by analyzing a wide variety of variables, including moral character, empathy, communication skills, and theological understanding. By embracing the potential advantages that technology may have for spiritual development, this multidisciplinary approach aims to close the gap between tradition and modernity. Using surveys, interviews, and historical documents, the technique gathers information from different religious institutions to create an extensive dataset. On the basis of this particular environment, machine learning algorithms will be trained to identify trends and connections linked to successful candidates for the priesthood. In order to ensure that the model respects individual privacy and cultural sensitivities while producing insightful results, ethical concerns will be of utmost importance. The research findings have wider implications on the role of technology in forming and sustaining spiritual groups, going beyond the particular setting of priesthood selection. Religious institutions can have difficulty incorporating technological innovations while upholding their fundamental beliefs and customs as society continues to change. Through the investigation of novel approaches to augment human judgment in identifying persons with the capacity to function as spiritual leaders, machine learning algorithms can be trained to support faith-based technological discourse.

Key word: Machine Learning, Algorithm, Priesthood, Ethical, Privacy, Technology