The Intersection of Artificial Intelligence, Music, and Religion: An Extensive Review Highlighting Contemporary and Emerging Perspectives

Abstract

This review explores the rapidly emerging intersection of artificial intelligence (AI), music, and religious studies, examining how computational processes are transforming both scholarly inquiry and lived engagement within these domains  . This paper further summarizes the existing uses of artificial intelligence (AI) procedures, such as machine learning, natural language processing, and pattern recognition, in order to observe how they transform the research of musicology and religious studies. It shows how AI can be applied to assess music pieces, decode religious texts, recognize cultural traditions, and foresee progress in these areas. The review summarizes publications in the field of computational musicology, digital humanities, and religious informatics in order to provide a clear picture of the existing possibilities and limitations. Key findings indicate that AI demonstrates significant potential in pattern recognition, cross-cultural analysis, and predictive modeling, while facing challenges in capturing subjective meaning, spiritual experience, and cultural nuance. We conclude by proposing future research directions and discussing implications for scholars, practitioners, and technologists working at the intersection of AI, music, and religion.