Opportunities and Threats of Artificial Intelligence in Christian Ministry: An Interdisciplinary Approach Through the Lens of Scientific Exploration and Technology
Abstract
1. Introduction
1.1. Innovation
1.2. Artificial Intelligence
1.3. Context: A Key Element in the Adoption of New Technology
2. Concepts for Scientific Exploration
2.1. Science and Exploration
2.2. Technology
2.3. Systems
3. Systems Engineering
3.1. Basic Concepts and Resources
3.2. Why Systems Engineering?
4. Opportunities and Threats
4.1. Threats
4.2. Opportunities
5. Summary
“A comprehensive spiritual assessment of AI should be rooted in the Word of God and guided by the Holy Spirit. The quality of spiritual discernment of AI systems, machines, and applications will be ensured for Christians through their daily relationship with God. Considering artificial intelligence, the most important task of the church today and tomorrow is to educate and train believers in AI literacy and biblical-spiritual literacy so that they can make independent and good decisions in all situations involving AI systems.”
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
1 | Risks are often discussed in the economic parlance of cost vs. benefit. However, in this report, the consideration is cast in terms of opportunities and threats because this is the language used to discuss systems more broadly. When new technology is involved, there are actual economic costs and benefits to be gained, and this is too narrow conceptually to properly evaluate the potential of artifical intelligence to pose both opportunities and threats. Both could be significant and one does not necessarily mitigate the other. |
2 | This is not an exact quote. In an 1883 lecture, he said, “When you can measure what you are speaking about, and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind: it may be the beginning of knowledge, but you have scarcely, in your thoughts, advanced to the stage of science, whatever the matter may be.” https://www.oxfordreference.com/display/10.1093/acref/9780191826719.001.0001/q-oro-ed4-00006236 (accessed on 1 April 2025). |
3 | The ESA public website touts the transfer of technology developed for space exploration to other applications that may benefit humankind. https://www.esa.int/Enabling_Support/Space_Engineering_Technology/What_is_technology/ (accessed on 1 April 2025). |
4 | https://www.britannica.com/technology/technology (accessed on 1 April 2025). |
5 | |
6 | Ellul (1964) p. xxv of “Notes to Reader” in the English translation from 1964 of the original French publication in 1954. (Ellul 2021). |
7 | |
8 | An open system exchanges both material and energy with the surrounding environment. A closed system is one in which only energy can be exchanged and matter cannot be exchanged. A third type of system is considered isolated, and in such systems, there is no exchange with the environment either materially or energetically. These definitions derive from thermodynamics, a branch of physics. |
9 | https://www.incose.org/about-systems-engineering/system-and-se-definitions/general-system-definition (accessed on 1 April 2025) (INCOSE 2023). |
10 | https://sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK) (accessed on 1 April 2025). |
11 | https://ntrs.nasa.gov/api/citations/20170001761/downloads/20170001761.pdf (accessed on 1 April 2025). |
References
- Adigun, Olusegun James, and Adebayo Ola Afolaranmi. 2024. Prospects and Contests of Artificial Intelligence (AI) on Religion and Society. International Journal of Social Sciences and Management Research 10: 244–55. [Google Scholar] [CrossRef]
- Afunugo, Kenechi Nnaemeka, and Geoffrey Chidebem Molokwu. 2024. Artificial Intelligence (AI) and Effective Evangelization of the Nigerian Church Mission: A Socio-Religious Evaluation. Journal of African Studies and Sustainable Development 7. Available online: https://www.acjol.org/index.php/jassd/article/view/5115/4964 (accessed on 1 April 2025).
- Allen, Carla M., Sandra Erdelez, and Miroslav Marinov. 2013. Looking for opportunistic discovery of information in recent biomedical research–A content analysis. Proceedings of the American Society for Information Science and Technology 50: 1–11. [Google Scholar] [CrossRef]
- Baerenklau, Kenneth A. 2005. Toward an understanding of technology adoption: Risk, learning, and neighborhood effects. Land Economics 81: 1–19. [Google Scholar] [CrossRef]
- Barlow, Jonathan, and Lynn Holt. 2024. Attention (to Virtuosity) Is All You Need: Religious Studies Pedagogy and Generative AI. Religions 15: 1059. [Google Scholar] [CrossRef]
- Bashir, Hilal, and Shabir Ahmad Bhat. 2017. Effects of social media on mental health: A review. International Journal of Indian Psychology 4: 125–31. [Google Scholar] [CrossRef]
- Beyari, Hasan. 2023. The relationship between social media and the increase in mental health problems. International Journal of Environmental Research and Public Health 20: 2383. [Google Scholar] [CrossRef]
- Bostrom, Nick. 2005. A history of transhumanist thought. Journal of Evolution and Technology 14. Available online: http://jetpress.org/volume14/freitas.html (accessed on 1 April 2025).
- Bowen, Murray. 1966. The use of family theory in clinical practice. Comprehensive Psychiatry 7: 345–74. [Google Scholar] [CrossRef]
- Chen, Guoxiong, Qiuming Cheng, and Steve Puetz. 2023. Data-driven discovery in geosciences: Opportunities and challenges. Mathematical Geosciences 55: 287–93. [Google Scholar] [CrossRef]
- Chowdhary, K., and K. R. Chowdhary. 2020. Natural language processing. In Fundamentals of Artificial Intelligence. New Delhi: Springer, pp. 603–49. [Google Scholar] [CrossRef]
- Christensen, James C., and Joseph B. Lyons. 2017. Trust between humans and learning machines: Developing the gray box. Mechanical Engineering 139: S9–S13. [Google Scholar] [CrossRef]
- Coghill, George M. 2023. Artificial Intelligence (and Christianity): Who? What? Where? When? Why? and How? Studies in Christian Ethics 36: 604–19. [Google Scholar] [CrossRef]
- Dorobantu, Marius. 2024. Spiritual and artificial intelligence. In Perspectives on Spiritual Intelligence. Oxfordshire: Routledge, pp. 83–98. [Google Scholar] [CrossRef]
- Ellul, Jacques. 1989. What I Believe. Grand Rapids: Eerdmans. ISBN 10:0551019409/13:9780551019409. [Google Scholar]
- Ellul, Jacques. 2021. The Technological Society. Vintage. Originally Published in 1954. English Translation by Wilkinson in 1964. New York: Random House. [Google Scholar]
- Geraci, Robert M. 2008. Apocalyptic AI: Religion and the promise of artificial intelligence. Journal of the American Academy of Religion 76: 138–66. [Google Scholar] [CrossRef]
- Herzfeld, Noreen. 2022. Theology and Technology. St Andrews Encyclopaedia of Theology. Available online: https://www.saet.ac.uk/Christianity/TheologyandTechnology (accessed on 1 August 2025).
- Hirshorn, Steven R., Linda D. Voss, and Linda K. Bromley. 2017. Nasa Systems Engineering Handbook; No. HQ-E-DAA-TN38707. Available online: https://ntrs.nasa.gov/api/citations/20170001761/downloads/20170001761.pdf (accessed on 1 July 2025).
- Hutson, James, and W. Travis McMaken. 2025. Dictating the Divine: Revisiting Authorship, Intention, and Authority from Sacred Texts to Generative AI. ISAR Journal of Arts, Humanities and Social Sciences 3. Available online: https://digitalcommons.lindenwood.edu/faculty-research-papers/731 (accessed on 1 July 2025).
- IfM, and IBM. 2008. Succeeding Through Service Innovation: A Service Perspective for Education, Research, Business and Government. Cambridge: University of Cambridge Institute for Manufacturing. [Google Scholar]
- INCOSE, ed. 2023. INCOSE Systems Engineering Handbook. Hoboken: John Wiley & Sons. [Google Scholar]
- Jambrek, Stanko. 2024. Christians Facing the Challenges of Artificial Intelligence. Kairos: Evangelical Journal of Theology 18: 75–94. Available online: https://hrcak.srce.hr/en/file/458492 (accessed on 1 July 2025).
- Kalpidou, Maria, Dan Costin, and Jessica Morris. 2011. The relationship between Facebook and the well-being of undergraduate college students. CyberPsychology, Behavior, and Social Networking 14: 183–89. [Google Scholar] [CrossRef] [PubMed]
- La Cruz, Alexandra, and Fernando Mora. 2024. Researching artificial intelligence applications in Evangelical and Pentecostal/Charismatic Christian churches: Purity, Bible, and mission as driving forces. Religions 15: 234. [Google Scholar] [CrossRef]
- Lau, Kam Man, Wai KKai Hou, Brian J. Hall, Daphna Canetti, Sin Man Ng, Agnes Iok Fong Lam, and Stevan E. Hobfoll. 2016. Social media and mental health in democracy movement in Hong Kong: A population-based study. Computers in Human Behavior 64: 656–62. [Google Scholar] [CrossRef]
- Lee, Sang Gun, Silvana Trimi, and Changsoo Kim. 2013. The impact of cultural differences on technology adoption. Journal of World Business 48: 20–29. [Google Scholar] [CrossRef]
- Nickel, Philip J. 2012. Trust in technological systems. In Norms in Technology. Dordrecht: Springer, pp. 223–37. [Google Scholar]
- Nystrom, Paul C., K. Ramamurthy, and Alla L. Wilson. 2002. Organizational context, climate and innovativeness: Adoption of imaging technology. Journal of Engineering and Technology Management 19: 221–47. [Google Scholar] [CrossRef]
- Ok, Jang Heum. 2024. Efficient use of artificial intelligence ChatGPT in educational ministry. Journal of Christian Education in Korea 78: 57–85. [Google Scholar] [CrossRef]
- Pantic, Igor. 2014. Online social networking and mental health. Cyberpsychology, Behavior, and Social Networking 17: 652–57. [Google Scholar] [CrossRef] [PubMed]
- Paquini, Rogelio. 2024. Ministry and artificial intelligence. Ministry: International Journal for Pastors 96: 18. Available online: https://digitalcommons.andrews.edu/pubs/5324 (accessed on 1 April 2025).
- Satyavrata, Ivan Morris. 2024. Critical Issues Facing the Global Church. Transformation 41: 190–204. [Google Scholar] [CrossRef]
- Schlager, Kenneth J. 1956. Systems engineering-key to modern development. IRE Transactions on Engineering Management 3: 64–66. [Google Scholar] [CrossRef]
- Schuetz, Sebastian, Le Kuai, Mary C. Lacity, and Zach Steelman. 2025. A qualitative systematic review of trust in technology. Journal of Information Technology 40: 55–76. [Google Scholar] [CrossRef]
- SEBoK Editorial Board. 2024. The Guide to the Systems Engineering Body of Knowledge (SEBoK). v. 2.11. Edited by N. Hutchison. Hoboken: The Trustees of the Stevens Institute of Technology, BKCASE Is Managed and Maintained by the Stevens Institute of Technology Systems Engineering Research Center, the International Council on Systems Engineering, and the Institute of Electrical and Electronics Engineers Systems Council. Available online: www.sebokwiki.org (accessed on 22 April 2025).
- Song, Yong Sup. 2021. Religious AI as an option to the risks of superintelligence: A Protestant theological perspective. Theology and Science 19: 65–78. [Google Scholar] [CrossRef]
- Tampubolon, Manotar, and Bernardetha Nadeak. 2024. Artificial Intelligence and Understanding of Religion: A Moral Perspective. International Journal of Multicultural and Multireligious Understanding 11: 903–14. [Google Scholar]
- Tanner, Kathryn. 1993. A theological case for human responsibility in moral choice. The Journal of Religion 73: 592–612. [Google Scholar] [CrossRef]
- Temperman, Jeroen. 2023. Artificial Intelligence and Religious Freedom. In Artificial Intelligence and Human Rights. Oxford: Oxford University Press, pp. 61–75. [Google Scholar]
- Topol, Eric J. 2024. AI-enabled opportunistic medical scan interpretation. The Lancet 403: 1842. [Google Scholar] [CrossRef]
- Tuia, Devis, Konrad Schindler, Begüm Demir, Xiao Xiang Zhu, Mrinalini Kochupillai, Sašo Džeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, and et al. 2024. Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward. IEEE Geoscience and Remote Sensing Magazine. Available online: https://ieeexplore.ieee.org/document/10669817 (accessed on 1 April 2025).
- Von Eschenbach, Warren J. 2021. Transparency and the black box problem: Why we do not trust AI. Philosophy & Technology 34: 1607–22. [Google Scholar] [CrossRef]
- Ziefle, Martina, Simon Himmel, and Andreas Holzinger. 2012. How usage context shapes evaluation and adoption in different technologies. Advances in Usability Evaluation 21: 211. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Conrad, P.G. Opportunities and Threats of Artificial Intelligence in Christian Ministry: An Interdisciplinary Approach Through the Lens of Scientific Exploration and Technology. Religions 2025, 16, 1092. https://doi.org/10.3390/rel16091092
Conrad PG. Opportunities and Threats of Artificial Intelligence in Christian Ministry: An Interdisciplinary Approach Through the Lens of Scientific Exploration and Technology. Religions. 2025; 16(9):1092. https://doi.org/10.3390/rel16091092
Chicago/Turabian StyleConrad, Pamela Gales. 2025. "Opportunities and Threats of Artificial Intelligence in Christian Ministry: An Interdisciplinary Approach Through the Lens of Scientific Exploration and Technology" Religions 16, no. 9: 1092. https://doi.org/10.3390/rel16091092
APA StyleConrad, P. G. (2025). Opportunities and Threats of Artificial Intelligence in Christian Ministry: An Interdisciplinary Approach Through the Lens of Scientific Exploration and Technology. Religions, 16(9), 1092. https://doi.org/10.3390/rel16091092