Generative Artificial Intelligence and Shariah Governance in Islamic Banks: A Conceptual Framework for Responsible Adoption

Authors

  • Zakaria Mahmoud Jammal Faculty of Administrative and Economic Sciences, Al-Quds Open University, Jenin, Palestine Author

DOI:

https://doi.org/10.70568/ujfiiai.3.1.4

Keywords:

Generative artificial intelligence, Islamic banking, Shariah governance, Maqasid al-Shariah, Responsible AI, TOE framework

Abstract

The generative artificial intelligence (GenAI) is entering the banking sector in a fast way, and the Islamic banks are not an exception from this trend. However, the Islamic banks face an additional requirement that the conventional banks do not face, which is the requirement of the Shariah compliance in every product, process, and communication. The objective of this paper is to develop a conceptual framework that explains how the Islamic banks can adopt the GenAI in a responsible way while protecting the Shariah governance. The paper follows a conceptual research design, and it is based on a structured integrative review of the literature on the AI in banking, the Shariah governance, the technology adoption, and the responsible AI. The framework integrates the Technology-Organization-Environment (TOE) framework with the Maqasid al-Shariah perspective, and it proposes six propositions. The propositions explain that the technological, organizational, and environmental readiness affect the GenAI adoption, and the GenAI adoption is expected to improve the Maqasid-oriented outcomes, where this relationship is moderated by the Shariah governance mechanisms and by the responsible AI principles. The paper contributes to the literature by moving the discussion from the general FinTech in the Islamic finance to the specific risks of the GenAI, such as the hallucination and the opacity of the model outputs. In addition, the paper provides practical guidance for the Shariah boards, the regulators, and the bank managers, and it suggests an agenda for the future empirical research.

References

Alam, N., Gupta, L., & Zameni, A. (2019). Fintech and Islamic finance: Digitalization, development and disruption. Palgrave Macmillan.

Ali, H., Abdullah, R., & Zaini, M. Z. (2019). Fintech and its potential impact on Islamic banking and finance industry: A case study of Brunei Darussalam and Malaysia. International Journal of Islamic Economics and Finance, 2(1), 73–108.

Arner, D. W., Barberis, J., & Buckley, R. P. (2016). The evolution of Fintech: A new post-crisis paradigm? Georgetown Journal of International Law, 47(4), 1271–1319.

Auda, J. (2008). Maqasid al-Shariah as philosophy of Islamic law: A systems approach. International Institute of Islamic Thought.

Bank Negara Malaysia. (2019). Shariah governance policy document. Bank Negara Malaysia.

Bank Negara Malaysia. (2020). Risk management in technology (RMiT) policy document. Bank Negara Malaysia.

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623). ACM. https://doi.org/10.1145/3442188.3445922

Bin Abdul Rahim, M. S. (2025). Revolutionising the Shariah Secretariat function through artificial intelligence: Prospects and challenges for Malaysia's Islamic banking sector. Journal of Central Banking Law and Institutions, 4(3), 567–594. https://doi.org/10.21098/jcli.v4i3.444

Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021). On the opportunities and risks of foundation models (arXiv:2108.07258). arXiv. https://doi.org/10.48550/arXiv.2108.07258

Chapra, M. U. (2008). The Islamic vision of development in the light of Maqasid al-Shariah. Islamic Research and Training Institute.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033

Dusuki, A. W., & Abdullah, N. I. (2007). Maqasid al-Shari'ah, Maslahah, and corporate social responsibility. American Journal of Islamic Social Sciences, 24(1), 25–45.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023). "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

El-Gamal, M. A. (2006). Islamic finance: Law, economics, and practice. Cambridge University Press.

Fares, O. H., Butt, I., & Lee, S. H. M. (2023). Utilization of artificial intelligence in the banking sector: A systematic literature review. Journal of Financial Services Marketing, 28, 835–852.

Financial Stability Board. (2017). Artificial intelligence and machine learning in financial services: Market developments and financial stability implications. Financial Stability Board.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People: An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5

Gilson, L. L., & Goldberg, C. B. (2015). Editors' comment: So, what is a conceptual paper? Group & Organization Management, 40(2), 127–130. https://doi.org/10.1177/1059601115576425

Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057

Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220–265. https://doi.org/10.1080/07421222.2018.1440766

Grais, W., & Pellegrini, M. (2006). Corporate governance and Shariah compliance in institutions offering Islamic financial services (Policy Research Working Paper No. 4054). World Bank.

Hasan, Z. (2011). A survey on Shari'ah governance practices in Malaysia, GCC countries and the UK: Critical appraisal. International Journal of Islamic and Middle Eastern Finance and Management, 4(1), 30–51.

Hassan, M. K., Rabbani, M. R., & Ali, M. A. M. (2020). Challenges for the Islamic finance and banking in post COVID era and the role of Fintech. Journal of Economic Cooperation and Development, 41(3), 93–116.

Islamic Financial Services Board. (2009). Guiding principles on Shari'ah governance systems for institutions offering Islamic financial services (IFSB-10). IFSB.

Jaakkola, E. (2020). Designing conceptual articles: Four approaches. AMS Review, 10(1–2), 18–26. https://doi.org/10.1007/s13162-020-00161-0

Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y. J., Madotto, A., & Fung, P. (2023). Survey of hallucination in natural language generation. ACM Computing Surveys, 55(12), Article 248. https://doi.org/10.1145/3571730

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

Kamali, M. H. (2008). Shari'ah law: An introduction. Oneworld Publications.

Khan, F. (2010). How 'Islamic' is Islamic banking? Journal of Economic Behavior & Organization, 76(3), 805–820. https://doi.org/10.1016/j.jebo.2010.09.015

Königstorfer, F., & Thalmann, S. (2020). Applications of artificial intelligence in commercial banks: A research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 27, 100352. https://doi.org/10.1016/j.jbef.2020.100352

Laldin, M. A., & Furqani, H. (2013). Developing Islamic finance in the framework of maqasid al-Shari'ah: Understanding the ends (maqasid) and the means (wasa'il). International Journal of Islamic and Middle Eastern Finance and Management, 6(4), 278–289.

MacInnis, D. J. (2011). A framework for conceptual contributions in marketing. Journal of Marketing, 75(4), 136–154. https://doi.org/10.1509/jmkg.75.4.136

Manneh, K., Susilowati, E., & Sundari, S. (2025). Artificial intelligence (AI) in Islamic finance: A PRISMA-guided systematic review on Sharia compliance. Equilibrium: Jurnal Ekonomi Syariah, 13(2), 205–224. https://doi.org/10.21043/equilibrium.v13i2.33951

Moharrak, M., & Mogaji, E. (2025). Generative AI in banking: Empirical insights on integration, challenges and opportunities in a regulated industry. International Journal of Bank Marketing, 43(4), 871–896. https://doi.org/10.1108/IJBM-08-2024-0490

Mollah, S., & Zaman, M. (2015). Shari'ah supervision, corporate governance and performance: Conventional vs. Islamic banks. Journal of Banking & Finance, 58, 418–435. https://doi.org/10.1016/j.jbankfin.2015.04.030

National Institute of Standards and Technology. (2023). Artificial intelligence risk management framework (AI RMF 1.0) (NIST AI 100-1). U.S. Department of Commerce. https://doi.org/10.6028/NIST.AI.100-1

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072

Regulation (EU) 2024/1689 of the European Parliament and of the Council of 13 June 2024 laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). (2024). Official Journal of the European Union, L, 2024/1689.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356–367. https://doi.org/10.1177/1534484305278283

Uddin, M. N., & Rosman, R. (2026). Artificial intelligence (AI) and risk management: An Islamic banking perspective. Journal of Economic Cooperation and Development. Advance online publication.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Wahab, A., & Mahdiya, I. (2025). Digital Shariah governance and the future of Islamic finance: A framework for AI-driven Shariah compliance in a global regulatory environment. International Journal of Islamic Finance, 3(2), 19–31. https://doi.org/10.14421/ijif.v3i2.2777

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Published

2026-06-30

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