Artificial Intelligence Ethics within Christian Pedagogy: Reconstructing Faith Based Educational Discourses in the Era of Algorithmic Culture
DOI:
https://doi.org/10.61132/ipcep.v1i3.525Keywords:
AI Integration, Artificial Intelligence, Christian Ethics, Ethical Policies, Relational TeachingAbstract
The rapid integration of Artificial Intelligence (AI) in education presents both opportunities and ethical challenges, especially for faith based institutions such as Christian schools. These institutions must balance technological innovation with their theological commitments. As AI becomes more embedded in educational environments, Christian educators face the challenge of integrating AI in a way that aligns with Christian values, human dignity, and relational teaching roles. This study explores how Christian moral teachings can guide the integration of AI into education, providing a framework for ethical AI use in Christian schools. Previous studies have highlighted the ethical concerns associated with AI, including algorithmic bias, data privacy, and the potential for AI to undermine relational teaching roles. Christian educational theology, which emphasizes values such as human dignity, justice, and fairness, offers a robust framework for addressing these concerns. A biblical worldview and the concept of Imago Dei (the image of God) provide theological foundations for integrating AI ethically in education, ensuring that AI tools enhance human centered learning rather than replace human educators. Additionally, literature suggests that ethical guidelines informed by Christian teachings can mitigate AI's ethical risks and promote a more inclusive and equitable educational environment. This study employs a mixed methods approach, combining qualitative and quantitative research methods. The qualitative phase involves document analysis and interviews with Christian educators and theologians to explore theological reflections on AI and its ethical implications.
References
Ahmed, Y. Al, & Osman, A. (2024). Ethical challenges and solutions in AI-powered digital health. In 2024 Global Digital Health Knowledge Exchange and Empowerment Conference (GDigiHealth.KEE 2024): Knowledge exchange of the state-of-the-art research and development in digital health technologies, enable and empower stakeholders engaged in enriching and enhancing the patient healthcare journey. https://doi.org/10.1109/gDigiHealth.KEE62309.2024.10761737
An, Q., Yang, J., Xu, X., Zhang, Y., & Zhang, H. (2024). Decoding AI ethics from users’ lens in education: A systematic review. Heliyon, 10(20), e39357. https://doi.org/10.1016/j.heliyon.2024.e39357
Ball Dunlap, P. A., & Michalowski, M. (2024). Advancing AI data ethics in nursing: Future directions for nursing practice, research, and education. JMIR Nursing, 7, e62678. https://doi.org/10.2196/62678
Brand, D. J. (2020). Algorithmic decision-making and the law. eJournal of eDemocracy and Open Government, 12(1), 115–132. https://doi.org/10.29379/jedem.v12i1.576
Burdett, M. S. (2023). Proximate and ultimate concerns in Christian ethical responses to artificial intelligence. Studies in Christian Ethics, 36(3), 620–641. https://doi.org/10.1177/09539468231180135
Cheng, Y., Huang, M., Lei, Y., & Tan, X. (2021). Pioneering the tide and enabling the future: Research on the innovation of the training mode of new engineering talents in universities from the perspective of artificial intelligence. In ACM International Conference Proceedings Series (pp. 652–659). https://doi.org/10.1145/3473714.3473827
Das, B., & Khatua, D. (2024). Ethical considerations for implementing AI-based solutions in digital health and medical analytics. In Responsible AI for digital health and medical analytics. https://doi.org/10.4018/979-8-3693-6294-5.ch010
Dieterle, E., Dede, C., & Walker, M. (2024). The cyclical ethical effects of using artificial intelligence in education. AI & Society, 39(2), 633–643. https://doi.org/10.1007/s00146-022-01497-w
Esqueda, O. J. (2014). Biblical worldview: The Christian higher education foundation for learning. Christian Higher Education, 13(2), 91–100. https://doi.org/10.1080/15363759.2014.872495
Gehring, P. (2023). Transparency, explainability, interpretability, trust: Digital-ethical lookalikes of the concept of responsibility. Deutsche Zeitschrift Für Philosophie, 71(5), 629–645. https://doi.org/10.1515/dzph-2023-0051
Globokar, R. (2024). The Catholic Church’s view on the development and use of artificial intelligence. Bogoslovni Vestnik, 84(4), 867–883. https://doi.org/10.34291/BV2024/04/Globokar
Holmes, W., Bektik, D., Whitelock, D., & Woolf, B. P. (2018). Ethics in AIED: Who cares? In Lecture Notes in Computer Science (Vol. 10948 LNAI, pp. 551–553).
Islam, M. A., Hossain, A., Dutta, A., & Uvero, M. (2024). Student pharmacists’ reflections on personal and professional development following a series of longitudinal faith-based courses. American Journal of Pharmaceutical Education, 88(11). https://doi.org/10.1016/j.ajpe.2024.101305
Kazim, E., & Koshiyama, A. S. (2021). A high-level overview of AI ethics. Patterns, 2(9), 100314. https://doi.org/10.1016/j.patter.2021.100314
Knowles, M. A. (2021). Five motivating concerns for AI ethics instruction. Proceedings of the Association for Information Science and Technology, 58(1), 472–476. https://doi.org/10.1002/pra2.481
Levantis, N., & Sgora, A. (2024). Algorithmic decision making in education: Challenges and opportunities. In IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/EDUCON60312.2024.10578645
Liang, W. (2020). Development trend and thinking of artificial intelligence in education. In 2020 International Wireless Communications and Mobile Computing Conference (IWCMC) (pp. 886–890). https://doi.org/10.1109/IWCMC48107.2020.9148078
Murashko, E., Babenko, I., & Savelova, L. (2024). The possibilities of using neural networks in literature lessons at school. In Lecture Notes in Networks and Systems (Vol. 1044 LNNS, pp. 346–354). https://doi.org/10.1007/978-3-031-64010-0_32
Murison, C. B., & Benson, D. M. (2018). Reimagining Christian schools as revelatory communities. In Reimagining Christian education: Cultivating transformative approaches. https://doi.org/10.1007/978-981-13-0851-2_5
Nikolaeva, I. V., Levchenko, A. V., & Zizikova, S. I. (2023). Artificial intelligence technologies for evaluating quality and efficiency of education. In Lecture Notes in Civil Engineering (Vol. 378 LNCE, pp. 360–365). https://doi.org/10.1007/978-3-031-38122-5_50
Pennington, R. (2020). Assessment as science and story: A roadmap for Christian higher education. Christian Higher Education, 19(5), 365–384. https://doi.org/10.1080/15363759.2020.1712560
Prinsloo, P. (2017). Fleeing from Frankenstein’s monster and meeting Kafka on the way: Algorithmic decision-making in higher education. E-Learning and Digital Media, 14(3), 138–163. https://doi.org/10.1177/2042753017731355
Salloum, S. A. (2024). AI perils in education: Exploring ethical concerns. In Studies in Big Data (Vol. 144, pp. 669–675). https://doi.org/10.1007/978-3-031-52280-2_43
Sumbera, B. G. (2024). The ethical use of AI in education. In Integrating AI into pedagogical education. https://doi.org/10.4018/979-8-3693-6130-6.ch008
Tran, K., & Nguyen, T. (2021). Preliminary research on the social attitudes toward AI’s involvement in Christian education in Vietnam: Promoting AI technology for religious education. Religions, 12(3), 1–20. https://doi.org/10.3390/rel12030208
Turaev, I., Zachepa, I., & Zachepa, N. (2023). Possible prospects and emerging challenges for use of AI for educational purposes. In Proceedings of the 5th International Conference on Modern Electrical and Energy System (MEES 2023). https://doi.org/10.1109/MEES61502.2023.10402543
Yufei, L., Saleh, S., Jiahui, H., & Abdullah, S. M. S. (2020). Review of the application of artificial intelligence in education. International Journal of Innovation, Creativity and Change, 12(8), 548–562.
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