A Review of AI on the Understanding of Music, Religion and Future/Emerging Trends
Keywords:
Artificial Intelligence, Sacred Music, Digital Religion, Computational Theology, Algorithmic Culture, AI and Spirituality, Future TrendsAbstract
This research examines the interplay between artificial intelligence, sacred music, and religion. The emphasis is on the influence of AI development on spiritual expressions and practices. Artificial intelligence is employed to study, produce, and perform particular forms of religious music, including Gregorian chant, Sufi qawwali, and gospel hymns. This prompts significant inquiries regarding authenticity, agency, and the essence of the Divine. The research delineates three primary trends: AI as a liturgical co-creator, algorithmic curating of sublime experiences, and the emergence of synthetic spiritual communities. These tendencies contest conventional notions of authorship, cultural context, and spiritual purpose, while creating new opportunities for personal and modern worship. Ethical issues with cultural appropriation and the commodification of spirituality underscore the necessity for collaboration among theologians, ethnomusicologists, and technologists. This collaboration can direct the application of AI in manners that respect the sacred rather than undermine it. As AI embodies human ideals, it obscures the distinction between calculation and reflection, prompting us to contemplate what may exist beyond language in our era of intelligent robots.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- Nnabuk Okon Eddy, Ifeanyi Adolphus Ucheana, Financial Strategies for Equipment Acquisition, and Sustenance of Scientific Laboratories: A Case Study of the Nuclear Science Laboratory at the University of Nigeria , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
- Faith D. Olasunkanmi, Chidinma M. Dike, Ja’afaru Umma Hani, Taiwo Suliyat Mofoyeke, Esther Oshaji, Ijeoma Joy Nwajiaku, Oluwakemi Adesola, Adebayo Adegbenro, AI and ML Assessment of Performance-Based Financing Models in Health Care: A Review , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Amos Odunayo Abosede, Digital Extension, Climate Information Access, and Livelihood Resilience in Nigerian Fisheries and Aquaculture: A Review and Integrated Framework for Sustainable Development , Applied Science, Computing, and Energy: Vol. 5 No. 2 (2026): Volume 5, issue 2
- Amos Odunayo Abosede, Digital Extension, Climate Information Access, and Livelihood Resilience in Nigerian Fisheries and Aquaculture: A Review and Integrated Framework for Sustainable Development , Applied Science, Computing, and Energy: Vol. 5 No. 2 (2026): Volume 5, issue 2
- Abdulmutallib Umar Baraya, Agatha Samson, Joy Chinelo Chukwudolue, Digital Transformation, Skills Development, and Entrepreneurial Sustainability in Nigerian Higher Education and Small and Medium Enterprises: An Integrative Review and Framework for Sustainable Development , Applied Science, Computing, and Energy: Vol. 5 No. 2 (2026): Volume 5, issue 2
- Elizabeth Ope, Yejide R. Alli, Nofisat Abdulsalam, Abiodun Saheed Ajadi, Predictive Financial Risk Monitoring Using Artificial Intelligence, Advanced Machine Learning and Business Strategy Analytics , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Amos Odunayo Abosede, Oluwakemi Temitope Oteniya, Integrated Modelling of Sustainable Fisheries and Aquaculture Systems in Nigeria: Effects of Production Efficiency, Environmental Stressors, Digital Technology Adoption, and Socioeconomic Factors , Applied Science, Computing, and Energy: Vol. 5 No. 2 (2026): Volume 5, issue 2
- Abubakar Tahiru, Oluwasanmi M. Odeniran, The Application of Artificial Intelligence to Develop Predictive models that Improve Harvesting Efficiency while Protecting biodiversity in Sustainable Forest Ecosystems. , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Jenny James Okon, Leveraging Artificial Intelligence in Sports and Business Management for Enhanced Health and Performance Outcomes , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Olatunde Ayeomoni, Intelligent Cyber Defense: Leveraging AI and Machine Learning Algorithms for Cloud Security , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
You may also start an advanced similarity search for this article.