Main Article Content
Abstract
The integration of Artificial Intelligence (AI) into Islamic financial products marks a transformative shift in the global financial ecosystem, particularly in Indonesia, where Islamic finance constitutes a vital pillar of the national economy. This study conducts a systematic literature review to explore the evolving intersection between AI technologies and Islamic financial systems, with a specific focus on implications for Indonesia’s regulatory and institutional landscape. Employing a qualitative-descriptive approach, the study examines the types, phases, and functional characteristics of AI, as well as the operational principles and structures of Islamic financial products, including murabaha, mudarabah, and sukuk. Findings indicate that AI has the potential to significantly improve operational efficiency, enhance transparency, facilitate real-time decision-making, and expand financial accessibility among underserved Muslim populations. However, the integration of AI also raises important concerns, particularly regarding Shariah compliance, data ethics, algorithmic bias, and regulatory readiness. The study highlights gaps in existing regulatory frameworks, including the lack of AI-specific guidelines within the current Islamic finance governance structures. To address these challenges, the paper proposes a set of policy recommendations, such as developing Shariah-aligned AI standards, enhancing collaboration between regulators and fintech developers, and fostering capacity-building among Islamic finance professionals. By ensuring that AI implementation aligns with Islamic ethical values, Indonesia can position itself as a leader in sustainable, inclusive, and innovation-driven Islamic finance in the digital era.
Keywords
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
- Ahmed, H., & El-Ghattis, N. (2020). Artificial intelligence in Islamic finance: Opportunities and challenges. Journal of Islamic Finance, *9*(2), 45–58.
- Ahmed, S., & Ali, M. (2022). Artificial intelligence in Islamic finance: Opportunities and challenges. Journal of Islamic Economics and Finance, *15*(2), 45–56.
- Ali, S. N., & Malik, M. (2021). Ethical AI in Islamic finance: Balancing innovation and Shariah principles. Journal of Ethics in Finance, *7*(4), 56–72.
- Bank Indonesia. (2023). Annual report on SME financing in Indonesia.
- Bank Indonesia. (2023). Indonesia’s Islamic finance sector: Growth prospects and AI integration. Bank Indonesia Publications.
- Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
- Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
- Dusuki, A. W. (2020). The role of AI in enhancing zakat management. International Journal of Zakat, *2*(3), 22–29.
- Dusuki, A. W. (2020). The role of Islamic microfinance in poverty alleviation. International Journal of Islamic and Middle Eastern Finance and Management, *1*(2), 11–19.
- Dusuki, A. W., & Abdullah, N. I. (2022). Shariah compliance in AI-driven financial systems: A framework for Islamic finance. Journal of Islamic Banking and Finance, *39*(3), 12–28.
- El-Gamal, M. A. (2006). Islamic finance: Law, economics, and practice. Cambridge University Press.
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
- Hasan, R., & Siraj, S. (2021). The role of AI in enhancing Shariah-compliant financial services: A case study of Indonesia. International Journal of Islamic Economics and Finance, *4*(1), 23–40.
- Hasan, R., & Siregar, B. (2023). AI and financial inclusion: The case of Islamic fintech in Indonesia. Indonesian Journal of Islamic Economics, *10*(1), 22–23.
- Hassan, M. K., & Lewis, M. K. (2021). Handbook of Islamic banking and finance. Edward Elgar Publishing.
- Iqbal, Z., & Mirakhor, A. (2011). An introduction to Islamic finance: Theory and practice. Wiley & Sons.
- Islamic Financial Services Board. (2023). Islamic financial services industry stability report 2023.
- Jurafsky, D., & Martin, J. H. (2020). Speech and language processing. Pearson.
- Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. Oxford University Press.
- Ng, A. (2018). Machine learning yearning: Technical strategy for AI engineers, in the era of deep learning.
- O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
- Oseni, U. A., & Ali, S. N. (2021). Fintech in Islamic finance: Theory and practice. Routledge.
- Oseni, U. A., & Hassan, M. K. (2023). AI and blockchain in Islamic finance: A roadmap for Indonesia. Journal of Islamic Financial Studies, *10*(1), 89–105.
- Rhamadhani, R. F. (2016). Pengaruh zakat terhadap kinerja perusahaan (studi empiris pada bank umum syariah di Indonesia). Hunafa: Jurnal Studia Islamika, *13*(2), 344–361. https://doi.org/10.24239/jsi.Vol13.Iss2.443
- Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach. Pearson.
- Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Knopf.
- Usmani, M. T. (2002). An introduction to Islamic finance. Kluwer Law International.
- World Bank. (2022a). Digital transformation in Southeast Asia: Implications for Islamic finance.
- World Bank. (2022b). Financial inclusion and economic growth in Indonesia.
- Zarsky, T. (2016). The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, *41*(1), 118–132. https://doi.org/10.1177/0162243915605575
References
Ahmed, H., & El-Ghattis, N. (2020). Artificial intelligence in Islamic finance: Opportunities and challenges. Journal of Islamic Finance, *9*(2), 45–58.
Ahmed, S., & Ali, M. (2022). Artificial intelligence in Islamic finance: Opportunities and challenges. Journal of Islamic Economics and Finance, *15*(2), 45–56.
Ali, S. N., & Malik, M. (2021). Ethical AI in Islamic finance: Balancing innovation and Shariah principles. Journal of Ethics in Finance, *7*(4), 56–72.
Bank Indonesia. (2023). Annual report on SME financing in Indonesia.
Bank Indonesia. (2023). Indonesia’s Islamic finance sector: Growth prospects and AI integration. Bank Indonesia Publications.
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company.
Dusuki, A. W. (2020). The role of AI in enhancing zakat management. International Journal of Zakat, *2*(3), 22–29.
Dusuki, A. W. (2020). The role of Islamic microfinance in poverty alleviation. International Journal of Islamic and Middle Eastern Finance and Management, *1*(2), 11–19.
Dusuki, A. W., & Abdullah, N. I. (2022). Shariah compliance in AI-driven financial systems: A framework for Islamic finance. Journal of Islamic Banking and Finance, *39*(3), 12–28.
El-Gamal, M. A. (2006). Islamic finance: Law, economics, and practice. Cambridge University Press.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Hasan, R., & Siraj, S. (2021). The role of AI in enhancing Shariah-compliant financial services: A case study of Indonesia. International Journal of Islamic Economics and Finance, *4*(1), 23–40.
Hasan, R., & Siregar, B. (2023). AI and financial inclusion: The case of Islamic fintech in Indonesia. Indonesian Journal of Islamic Economics, *10*(1), 22–23.
Hassan, M. K., & Lewis, M. K. (2021). Handbook of Islamic banking and finance. Edward Elgar Publishing.
Iqbal, Z., & Mirakhor, A. (2011). An introduction to Islamic finance: Theory and practice. Wiley & Sons.
Islamic Financial Services Board. (2023). Islamic financial services industry stability report 2023.
Jurafsky, D., & Martin, J. H. (2020). Speech and language processing. Pearson.
Kaplan, J. (2016). Artificial intelligence: What everyone needs to know. Oxford University Press.
Ng, A. (2018). Machine learning yearning: Technical strategy for AI engineers, in the era of deep learning.
O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown Publishing Group.
Oseni, U. A., & Ali, S. N. (2021). Fintech in Islamic finance: Theory and practice. Routledge.
Oseni, U. A., & Hassan, M. K. (2023). AI and blockchain in Islamic finance: A roadmap for Indonesia. Journal of Islamic Financial Studies, *10*(1), 89–105.
Rhamadhani, R. F. (2016). Pengaruh zakat terhadap kinerja perusahaan (studi empiris pada bank umum syariah di Indonesia). Hunafa: Jurnal Studia Islamika, *13*(2), 344–361. https://doi.org/10.24239/jsi.Vol13.Iss2.443
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach. Pearson.
Tegmark, M. (2017). Life 3.0: Being human in the age of artificial intelligence. Knopf.
Usmani, M. T. (2002). An introduction to Islamic finance. Kluwer Law International.
World Bank. (2022a). Digital transformation in Southeast Asia: Implications for Islamic finance.
World Bank. (2022b). Financial inclusion and economic growth in Indonesia.
Zarsky, T. (2016). The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, *41*(1), 118–132. https://doi.org/10.1177/0162243915605575