From Declarative Values to Institutional Practice: Living Islamic Ethics in Generative AI Governance at Two Indonesian State Islamic Universities
Published: December 31, 2025
Pages: 102-121
##plugins.themes.bootstrap3.article.main##
Abstract
Generative artificial intelligence (AI) poses challenges for Islamic universities seeking to reconcile innovation, academic integrity, and religious responsibility. This study examines how Islamic ethical principles are interpreted and translated into generative AI governance at two Indonesian state Islamic universities, and how the findings qualify an existing multilevel Living Islam model. A qualitative multiple-case design draws on 37 semi-structured interviews, 18 institutional documents, and two co-design workshops conducted between February and June 2026 at UIN Sunan Kalijaga Yogyakarta and UIN Maulana Malik Ibrahim Malang. Four empirical themes concern AI's productive yet subordinate role, a gap between declared values and enforceable procedures, lecturers' frontline governance work, and tensions among efficiency, integrity, privacy, and equitable access. These patterns inform a six-stage analytic cycle linking normative interpretation, stakeholder deliberation, institutional translation, pedagogical enactment, ethical accountability, and reflective evaluation. The proposed cycle is only partially evidenced in both cases and should not be confused with a fully implemented policy system. The study conceptualizes Living Islamic Ethics as an institutionally mediated process and distinguishes general AI safeguards from their specifically Islamic moral justification. Its findings are limited by a two-case design, reliance on reported practice, and incomplete documentation of spontaneous ethical references and workshop model development.
##plugins.themes.bootstrap3.article.details##
Copyright

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
References
Achruh, A., Rapi, M., Rusdi, M., & Idris, R. (2024). Challenges and opportunities of artificial intelligence adoption in Islamic education in Indonesian higher education institutions. International Journal of Learning, Teaching and Educational Research, 23(11), 423–443. https://doi.org/10.26803/ijlter.23.11.22
Aflahah, S., Nisa, K., Aldeia, A. M. S., Marannu, B., Ramli, M., Windyasari, V. S., & Ruhutama, T. S. (2026). AI, ethics, and Islamic higher education: Navigating the tensions between practical risk mitigation and religious normativity. Jurnal Ilmiah Islam Futura, 26(1), 1–24. https://doi.org/10.22373/jiifv26.i1.32978
Alfiras, M. I. I., Emran, A. Q., & Mohamed, A. M. (2026). Ethics and governance of generative AI in education: A systematic review on responsible adoption. Discover Education, 5, Article 37. https://doi.org/10.1007/s44217-025-01051-y
Ali, F., Bouzoubaa, K., Gelli, F., Hamzi, B., & Khan, S. F. (2025). Islamic ethics and AI: An evaluation of existing approaches to AI using trusteeship ethics. Philosophy & Technology, 38, Article 120. https://doi.org/10.1007/s13347-025-00922-4
An, Y., Yu, J. H., & James, S. (2025). Investigating the higher education institutions’ guidelines and policies regarding the use of generative AI in teaching, learning, research, and administration. International Journal of Educational Technology in Higher Education, 22, Article 10. https://doi.org/10.1186/s41239-025-00507-3
Asad, T. (1986). The idea of an anthropology of Islam. Center for Contemporary Arab Studies, Georgetown University.
Auda, J. (2008). Maqasid al-Shariah as philosophy of Islamic law: A systems approach. International Institute of Islamic Thought. https://doi.org/10.2307/j.ctvkc67tg
Barus, O. P., Hidayanto, A. N., Eitiveni, I., Phusavat, K., & Sudibjo, N. (2025). Identifying key components and stakeholders for generative AI governance in higher education: A systematic literature review. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2025.2596058
Barus, O. P., Hidayanto, A. N., Handri, E. Y., Sensuse, D. I., & Yaiprasert, C. (2025). Shaping generative AI governance in higher education: Insights from student perception. International Journal of Educational Research Open, 8, Article 100452. https://doi.org/10.1016/j.ijedro.2025.100452
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE.
Campbell-Esen, R., Mahoney, J., & Talhouk, R. (2026). Co-designing Islamic AI ethics: Insights from the UK Muslim community. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (pp. 1–18). Association for Computing Machinery. https://doi.org/10.1145/3772318.3790413
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20, Article 38. https://doi.org/10.1186/s41239-023-00408-3
Chaudhary, M. Y. (2020). Initial considerations for Islamic digital ethics. Philosophy & Technology, 33(4), 639–657. https://doi.org/10.1007/s13347-020-00418-3
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE.
Direktorat Pembelajaran dan Kemahasiswaan. (2024). Panduan penggunaan generative artificial intelligence (GenAI) pada pembelajaran di perguruan tinggi [Guide to the use of generative AI in higher education teaching and learning]. Direktorat Jenderal Pendidikan Tinggi, Riset, dan Teknologi. https://lldikti3.kemdiktisaintek.go.id/wp-content/uploads/2024/11/Buku-Panduan-_-Penggunaan-Generative-AI-pada-Pembelajaran-di-Perguruan-Tinggi-cetak.pdf
Erhardt, C., Kullenberg, H., Grigoriadis, A., Kumar, A., Christidis, N., & Christidis, M. (2025). From policy to practice: The regulation and implementation of generative AI in Swedish higher education institutes. International Journal for Educational Integrity, 21, Article 21. https://doi.org/10.1007/s40979-025-00195-6
Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 15–31. https://doi.org/10.1177/1094428112452151
Gonsalves, C. (2025). Addressing student non-compliance in AI use declarations: Implications for academic integrity and assessment in higher education. Assessment & Evaluation in Higher Education, 50(4), 592–606. https://doi.org/10.1080/02602938.2024.2415654
Government of Indonesia. (2022). Undang-Undang Republik Indonesia Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi [Law No. 27 of 2022 on Personal Data Protection]. https://peraturan.bpk.go.id/Details/229798/uu-no-27-tahun-2022
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1
Kannike, U. M. M., & Fahm, A. O. (2025). Exploring the ethical governance of artificial intelligence from an Islamic ethical perspective. Jurnal Fiqh, 22(1), 134–161. https://doi.org/10.22452/fiqh.vol22no1.5
McGuire, M. B. (2008). Lived religion: Faith and practice in everyday life. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195172621.001.0001
Miao, F., & Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000386693
Murfi, A., Syafii, A., & Prasetyo, G. (2025). Living Islam as a transformative philosophy: A systematic analysis and integrative multilevel conceptual model. Living Islam: Journal of Islamic Discourses, 8(1), 47–61. https://ejournal.uin-suka.ac.id/ushuluddin/li/article/view/7484
Qudsy, S. Z. (2016). Living hadis: Genealogi, teori, dan aplikasi. Jurnal Living Hadis, 1(1). https://doi.org/10.14421/livinghadis.2016.1073
Rafiq, A. (2021). The living Qur’an: Its text and practice in the function of the scripture. Jurnal Studi Ilmu-Ilmu Al-Qur’an dan Hadis, 22(2). https://doi.org/10.14421/qh.2021.2202-10
Schielke, S. (2009). Being good in Ramadan: Ambivalence, fragmentation, and the moral self in the lives of young Egyptians. Journal of the Royal Anthropological Institute, 15(S1), S24–S40. https://doi.org/10.1111/j.1467-9655.2009.01540.x
Tracy, S. J. (2010). Qualitative quality: Eight “big-tent” criteria for excellent qualitative research. Qualitative Inquiry, 16(10), 837–851. https://doi.org/10.1177/1077800410383121
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE.