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
- Adeniyi Johnson Babafemi, Jeremiah Makarau Iliya, Ibrahim Aliyu Mohammed, Assessing the Level of Awareness and Usage of E-Learning Platforms by Teachers and Students of Chemistry in Fce, Zaria, During the Covid -19 Era , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Mu’awiya Baba Aminu, Sangodiji Enoch Ezekiel, Rebecca Juliet Ayanwunmi, Anako Shefawu Onize, Daniel Chukwunonso Chukwudi, Changde Andrew Nanfa, A Review of the Hydrogeological Framework and Groundwater Resources Management in Nigeria: Current Status and Future Trend , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Egbuhuzor Udechukwu Peter, Okoro Enyinnaya Okoro, Enhancing Rainfall-Runoff Prediction Accuracy using Artificial Neural Networks: A Case Study of Bida, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Paschal Okiroro Iniaghe, From Fossil Fuels to Solar Power: Nigeria’s Renewable Energy Transition in the African Context , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Charles Kelechi Ekezie, Emmanuel John Ekpenyong, David Friday Adiele, An Empirical and Simulation-Based Evaluation of Existing Class Estimators in Two-Occasion Successive Sampling , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- ENENI ROBERTS INALA, ASSESSMENT OF HEAVY METALS IN AGROECOSYSTEMS IN OTUOKE, BAYELSA STATE , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Oluwafemi Clement Adeusi, Nsikak Monday Akpan, Unified Connectivity in a Fragmented Market: The Clefa Modem Approach to Mobile Network Efficiency , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Ifiok Dominic Uffia, Ofonimeh Emmanuel Udofia , Iniobong Bruno Nsien,, Idem Udo Uko, Christiana Samuel Udofia, Ecological Impacts of Anthropogenic Activities on Biodiversity and Ecosystem Functioning in Changing Climates , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Precious Mkpouto Akpan, Adewunmi O. Wale-Akinrinde, Toluwalase Damilola Osanyingbemi, Chinelo E. Okonkwo, Oluwapelumi Adebukola Fadairo, Adaptive Product Growth Models Powered by Predictive Analytics and Organization Risk Signals , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Joseph Amajama, Eyime Echeng Eyime, Sameul Eyen, Efa Ikpi, Effect of Wooded Channels on 519.25-MHz UHF Radio Wave Propagation , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
You may also start an advanced similarity search for this article.