Ethical Pluralism in AI Policy: A Framework for Islamic Integration into Global AI Governance
DOI:
https://doi.org/10.61194/ijis.v3i3.897Keywords:
AI Ethics, Maqāṣid al-Sharīʿah, AI Governance, EU AI Act, NIST RMF, Islamic Ethics, Global Regulation, UNESCO, OECDAbstract
The rapid adoption of artificial intelligence (AI) has intensified global efforts to establish ethical and legal governance. While frameworks such as the EU AI Act, NIST AI Risk Management Framework (RMF), UNESCO Recommendation on AI Ethics, and OECD AI Principles provide foundational guidelines, they often lack culturally grounded ethical perspectives. This study proposes integrating Maqāṣid al-Sharīʿah—the higher objectives of Islamic law—as a complementary ethical layer within global AI governance. Using a comparative conceptual mapping approach, the research analyzes the alignment between Maqāṣid principles and global standards through policy reviews, AI ethics literature, and Islamic jurisprudence. Findings reveal strong thematic compatibility between Maqāṣid domains (protection of religion, life, intellect, lineage, and property) and principles emphasized by UNESCO and the OECD, including shared opposition to biometric surveillance and social scoring. A governance model is introduced by overlaying Maqāṣid criteria onto the NIST RMF structure (GOVERN, MAP, MEASURE, MANAGE), offering a culturally coherent implementation strategy. Integrating Maqāṣid al-Sharīʿah enhances normative legitimacy in Muslim-majority contexts and promotes a pluralistic, ethically resilient AI policy landscape, demonstrating that religious ethics can enrich international standards for responsible AI.
References
Akhter, S., Ahmad, M. R., Chibb, M., Zai, A. F., & Yaqoob, M. (2024). Artificial Intelligence in the 21st Century: Opportunities, Risks and Ethical Imperatives. Kuey. https://doi.org/10.53555/kuey.v30i5.3125 DOI: https://doi.org/10.53555/kuey.v30i5.3125
Annisa, N. N., & Tabassum, N. (2023). Challenges of Multiculturalism: Integration of Religion in State Policy. Religion and Policy Journal, 1(1), 8–15. https://doi.org/10.15575/rpj.v1i1.433 DOI: https://doi.org/10.15575/rpj.v1i1.433
Ayinla, B. S., Amoo, O. O., Atadoga, A., Abrahams, T. O., Osasona, F., & Farayola, O. A. (2024). Ethical AI in Practice: Balancing Technological Advancements With Human Values. International Journal of Science and Research Archive, 11(1), 1311–1326. https://doi.org/10.30574/ijsra.2024.11.1.0218 DOI: https://doi.org/10.30574/ijsra.2024.11.1.0218
Ayling, J., & Chapman, A. (2021). Putting AI Ethics to Work: Are the Tools Fit for Purpose? Ai and Ethics, 2(3), 405–429. https://doi.org/10.1007/s43681-021-00084-x DOI: https://doi.org/10.1007/s43681-021-00084-x
Bednar, K., & Spiekermann, S. (2022). Eliciting Values for Technology Design With Moral Philosophy: An Empirical Exploration of Effects and Shortcomings. Science Technology & Human Values, 49(3), 611–645. https://doi.org/10.1177/01622439221122595 DOI: https://doi.org/10.1177/01622439221122595
Bezerra, A. P., Vieira, Z., & Ribeiro, M. M. R. (2021). Water Governance Assessment at Different Scales: A Reservoir Case Study in the Brazilian Semiarid Region. RBRH, 26. https://doi.org/10.1590/2318-0331.262120200171 DOI: https://doi.org/10.1590/2318-0331.262120200171
Birkstedt, T., Minkkinen, M., Tandon, A., & Mäntymäki, M. (2023). AI Governance: Themes, Knowledge Gaps and Future Agendas. Internet Research, 33(7), 133–167. https://doi.org/10.1108/intr-01-2022-0042 DOI: https://doi.org/10.1108/INTR-01-2022-0042
Bleher, H., & Braun, M. (2023). Reflections on Putting AI Ethics Into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice. Science and Engineering Ethics, 29(3). https://doi.org/10.1007/s11948-023-00443-3 DOI: https://doi.org/10.1007/s11948-023-00443-3
Burr, C., & Leslie, D. (2022). Ethical Assurance: A Practical Approach to the Responsible Design, Development, and Deployment of Data-Driven Technologies. Ai and Ethics, 3(1), 73–98. https://doi.org/10.1007/s43681-022-00178-0 DOI: https://doi.org/10.1007/s43681-022-00178-0
Folorunso, A., Adewumi, T., Adewa, A., Okonkwo, R., & Olawumi, T. N. (2024). Impact of AI on Cybersecurity and Security Compliance. Global Journal of Engineering and Technology Advances, 21(1), 167–184. https://doi.org/10.30574/gjeta.2024.21.1.0193 DOI: https://doi.org/10.30574/gjeta.2024.21.1.0193
Georgieva, I., Lazo, C., Timan, T., & Veenstra, A. F. v. (2022). From AI Ethics Principles to Data Science Practice: A Reflection and a Gap Analysis Based on Recent Frameworks and Practical Experience. Ai and Ethics, 2(4), 697–711. https://doi.org/10.1007/s43681-021-00127-3 DOI: https://doi.org/10.1007/s43681-021-00127-3
Georgievskaya, A., Tlyachev, T., Danko, D., Chekanov, K., & Corstjens, H. (2023). How Artificial Intelligence Adopts Human Biases: The Case of Cosmetic Skincare Industry. Ai and Ethics, 5(1), 105–115. https://doi.org/10.1007/s43681-023-00378-2 DOI: https://doi.org/10.1007/s43681-023-00378-2
Günay, E. K., & Yenilmez, M. İ. (2023). Artificial Intelligence’s Impact on SMEs: AI in Practice Restructuring Small and Medium-Sized Businesses. https://doi.org/10.59287/as-proceedings.456 DOI: https://doi.org/10.59287/as-proceedings.456
Igbinenikaro, E., & Adewusi, A. O. (2024). Developing International Policy Guidelines for Managing Cross-Border Insolvencies in the Digital Economy. International Journal of Management & Entrepreneurship Research, 6(4), 1034–1048. https://doi.org/10.51594/ijmer.v6i4.983 DOI: https://doi.org/10.51594/ijmer.v6i4.983
Ipe, R. (2019). Ethical Tensions in Designing Ethnographic Research With Schoolchildren in Rural Karnataka. Global Studies of Childhood, 9(2), 120–131. https://doi.org/10.1177/2043610619846090 DOI: https://doi.org/10.1177/2043610619846090
Jobin, A., Ienca, M., & Vayena, E. (2019). The Global Landscape of AI Ethics Guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2 DOI: https://doi.org/10.1038/s42256-019-0088-2
Lam, M. E. (2021). Ethical Reflections on the COVID-19 Pandemic in the Global Seafood Industry: Navigating Diverse Scales and Contexts of Marine Values and Identities. Maritime Studies, 20(4), 501–516. https://doi.org/10.1007/s40152-021-00247-w DOI: https://doi.org/10.1007/s40152-021-00247-w
Liao, F., Adelaine, S., Afshar, M., & Patterson, B. W. (2022). Governance of Clinical AI Applications to Facilitate Safe and Equitable Deployment in a Large Health System: Key Elements and Early Successes. Frontiers in Digital Health, 4. https://doi.org/10.3389/fdgth.2022.931439 DOI: https://doi.org/10.3389/fdgth.2022.931439
Morley, J., Elhalal, A., Garcia, F., Kinsey, L., Mökander, J., & Floridi, L. (2021). Ethics as a Service: A Pragmatic Operationalisation of AI Ethics. Minds and Machines, 31(2), 239–256. https://doi.org/10.1007/s11023-021-09563-w DOI: https://doi.org/10.1007/s11023-021-09563-w
Muhammad Syaqiq Al-Azdi Bin Abd Razak, Ismail, S. H. S., & Basir, S. A. (2024). Harmonizing Faith and Governance: A Comprehensive Study of Islamic Governance Frameworks. Jpi, 17(2), 87–101. https://doi.org/10.53840/jpi.v17i2.304 DOI: https://doi.org/10.53840/jpi.v17i2.304
Nabben, K. (2024). AI as a Constituted System: Accountability Lessons From an LLM Experiment. Data & Policy, 6. https://doi.org/10.1017/dap.2024.58 DOI: https://doi.org/10.1017/dap.2024.58
Nedungadi, P., Tang, K., & Raman, R. (2024). The Transformative Power of Generative Artificial Intelligence for Achieving the Sustainable Development Goal of Quality Education. Sustainability, 16(22), 9779. https://doi.org/10.3390/su16229779 DOI: https://doi.org/10.3390/su16229779
Novelli, C., Casolari, F., Rotolo, A., Taddeo, M., & Floridi, L. (2024). AI Risk Assessment: A Scenario-Based, Proportional Methodology for the AI Act. Digital Society, 3(1). https://doi.org/10.1007/s44206-024-00095-1 DOI: https://doi.org/10.1007/s44206-024-00095-1
Odero, B., Nderitu, D., & Samuel, G. (2024). The Ubuntu Way: Ensuring Ethical AI Integration in Health Research. Wellcome Open Research, 9, 625. https://doi.org/10.12688/wellcomeopenres.23021.1 DOI: https://doi.org/10.12688/wellcomeopenres.23021.1
Peters, D., Vold, K., Robinson, D., & Calvo, R. A. (2020). Responsible AI—Two Frameworks for Ethical Design Practice. Ieee Transactions on Technology and Society, 1(1), 34–47. https://doi.org/10.1109/tts.2020.2974991 DOI: https://doi.org/10.1109/TTS.2020.2974991
Pflanzer, M., Traylor, Z., Lyons, J. B., Dubljević, V., & Nam, C. S. (2022). Ethics in Human–AI Teaming: Principles and Perspectives. Ai and Ethics, 3(3), 917–935. https://doi.org/10.1007/s43681-022-00214-z DOI: https://doi.org/10.1007/s43681-022-00214-z
Raquib, A., Channa, B., Zubair, T., & Qadir, J. (2022). Islamic Virtue-Based Ethics for Artificial Intelligence. Discover Artificial Intelligence, 2(1). https://doi.org/10.1007/s44163-022-00028-2 DOI: https://doi.org/10.1007/s44163-022-00028-2
Rokhshad, R., Karteva, T., Chaurasia, A., Richert, R., Mörch, C., Tamimi, F., & Ducret, M. (2024). Artificial Intelligence and Smile Design: An E‐Delphi Consensus Statement of Ethical Challenges. Journal of Prosthodontics, 33(8), 730–735. https://doi.org/10.1111/jopr.13858 DOI: https://doi.org/10.1111/jopr.13858
Ryan, M. (2022). The Social and Ethical Impacts of Artificial Intelligence in Agriculture: Mapping the Agricultural AI Literature. Ai & Society, 38(6), 2473–2485. https://doi.org/10.1007/s00146-021-01377-9 DOI: https://doi.org/10.1007/s00146-021-01377-9
Schiff, D. (2023). Looking Through a Policy Window With Tinted Glasses: Setting the Agenda for U.S. AI Policy. Review of Policy Research, 40(5), 729–756. https://doi.org/10.1111/ropr.12535 DOI: https://doi.org/10.1111/ropr.12535
Schuett, J., Reuel, A., & Carlier, A. (2024). How to Design an AI Ethics Board. Ai and Ethics, 5(2), 863–881. https://doi.org/10.1007/s43681-023-00409-y DOI: https://doi.org/10.1007/s43681-023-00409-y
Stix, C. (2021). Actionable Principles for Artificial Intelligence Policy: Three Pathways. Science and Engineering Ethics, 27(1). https://doi.org/10.1007/s11948-020-00277-3 DOI: https://doi.org/10.1007/s11948-020-00277-3
Ulnicane, I., Knight, W., Leach, T., Stahl, B. C., & Wanjiku, W.-G. (2020). Framing Governance for a Contested Emerging Technology:insights From AI Policy. Policy and Society, 40(2), 158–177. https://doi.org/10.1080/14494035.2020.1855800 DOI: https://doi.org/10.1080/14494035.2020.1855800
Veale, M., Matus, K., & Gorwa, R. (2023). AI and Global Governance: Modalities, Rationales, Tensions. Annual Review of Law and Social Science, 19(1), 255–275. https://doi.org/10.1146/annurev-lawsocsci-020223-040749 DOI: https://doi.org/10.1146/annurev-lawsocsci-020223-040749
