Abdullah, M., Chee, K. (2020). The integration of artificial intelligence in Islamic finance: A critical review. Journal of Islamic Financial Studies.
Agarwal, R., Kremer, A., Kristensen, I., Logit, A. (2023). How generative AI can help banks manage risk and compliance. McKinsey & Company. Available online: https://www.mckinsey.com/featured-insights/highlights-in-arabic/how-generative-ai-can-help-banks-manage-risk-and-compliance-arabic/ar (accessed on 5 May 2024).
Ahmad, A., Shabbir, M. S. (2018). Asset-backed financing in Islamic finance: A comparative analysis. Journal of Islamic Financial Studies.
Ali, H., Aysan, A. F., Mesroua, M. (2024). AI in Finance: Applications for Global Finance Institutions and Adaptations for Islamic Finance. In: The Impact of Artificial Intelligence on Societies: Understanding Attitude Formation Towards AI. Cham: Springer Nature Switzerland.
Alkhowaiter, M., & Alsharif, R. (2022). The role of artificial intelligence in Sharia compliance for Islamic banking: A case study of Saudi Arabia. Journal of Islamic Finance and Technology.
Almutairi, A., Quttainah, M. (2020). The ethical implications of artificial intelligence in Islamic finance. Journal of Islamic Finance and Ethics.
Al-Shalhoob, S. B. F. (2023). Islamic finance and artificial intelligence. Al-Eqtisadiah. Available online: https://www.aleqt.com/author/salah_shlhob (accessed 5 May 2024).
Altaf, S., Hussain, M., Saeed, A. (2022). Automating Financial Transactions Classification in Islamic Finance: Enhancing Accuracy with AI. Journal of Islamic Financial Studies.
Ashraf, D. (2023). Digital finance and artificial intelligence: Islamic finance challenges and prospects. Islamic finance, FinTech, and the road to sustainability.
Azhar, M., Hassan, R. (2024). Machine Learning Algorithms in Detecting Non-Compliance in Islamic Finance. Islamic Finance Review. 19(1),
Bamhdi, A. M. (2024). Analysis of intangible assets reporting standards and automation in KSA within an Islamic context–a case study. Journal of Islamic Accounting and Business Research.
Blei, D. M., Ng, A. Y., Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research.
Bukhari, H., Qureshi, N. (2023). Real-Time Risk Management Using AI in Islamic Financial Institutions. International Journal of Islamic Economics and Finance.
Dotel, R. P. (2020). Artificial intelligence: Preparing for the future of audit. International Journal of Government Auditing.
Elmarzouky, M., Ahmed, K., and Liu, Z. (2021). The challenges of implementing AI in Sharia-compliant finance. International Journal of Islamic Finance.
Eurisko. (2023). The impact of AI on Saudi Arabia’s banking and fintech sectors. Available online: https://eurisko.net (accessed on 5 May 2024).
Farook, S. Z., & Farooq, M. O. (2011). Shariah governance for Islamic finance: Challenges and pragmatic solutions. Available at SSRN.
Fauziah, W., Rahman, A., Amrin, A, et al. (2024). Islamic Finance Transformation in the Digital Era: Innovation Opportunities, Global Challenges, and the Role of Artificial Intelligence in Islamic Financial Management. JESI (Jurnal Ekonomi Syariah Indonesia).
Finastra. (2023). Saudi Arabia leads adoption of AI in financial services. Available online: https://finastra.com (accessed on 5 May 2024).
Hamadou, I., & Suleman, U. (2024). FinTech and Islamic Finance: Opportunities and Challenges. The Future of Islamic Finance, 175–188. https://doi.org/10.1108/978-1-83549-906-120241011
Hashem, F. (2023). Influence Of E-Auditing On Credibility And Reliability Of Financial Information Within Public Shareholding Companies. Journal of Governance and Regulation/Volume.
Ibrahim, A., & Hassan, F. (2024). Advancing Islamic financial systems through AI and regulatory compliance in Saudi Arabia. Islamic Finance Review.
Iqbal, Z., Mirakhor, A. (2017). Ethical dimensions of Islamic finance. Palgrave Macmillan.
Karim, R., Hassan, A. (2019). Ethical considerations in the deployment of AI in Islamic finance. International Journal of Islamic Banking and Finance.
Khan, M., Ali, R., and Shah, F. (2021). Automated Sharia compliance in financial contracts: The role of NLP. Journal of Islamic Finance.
Khan, Z., Ahmed, S., & Alharbi, Y. (2023). Applications of AI in Islamic finance: Enhancing compliance and customer engagement. Journal of Financial Innovation.
Mansoori, A., Sadeghi, Z. (2023). Natural Language Processing in Shariah Compliance: Transforming Texts into Structured Data. Journal of Artificial Intelligence in Islamic Finance.
Nasir, M., & Rahman, S. (2021). AI and Ijtihad: Integrating Technology with Islamic Legal Reasoning in Finance. International Journal of Shariah Law.
Rahman, A. (2021). Artificial intelligence and the future of Islamic banking. Journal of Islamic Banking and Finance.
Rahman, M., & Ali, S. (2024). AI tools for compliance monitoring in Islamic finance. Islamic Financial Review.
Rani, S., Rahim, M., & Khan, A. (2023). Blockchain and AI integration in Islamic finance: A path to enhanced transparency. Journal of Islamic Finance and Technology.
Saad, M. H. (2017). The emergence of Islamic banks and the importance of innovation in them: A study from an Islamic perspective. Arab Journal of Management Studies. Available online: https://www.asjp.cerist.dz/en/article/43921 (accessed on 28 September 2024).
Sadiq, R. (2019). Islamic Ethics and Artificial Intelligence: Navigating the Path of Justice. Islamic Ethics Journal.
Salim, R. (2020). AI and Sharia-compliant finance: Opportunities and challenges. Journal of Islamic Banking and Finance.
Saudi Central Bank (SAMA). (2023). AI guidelines for Islamic financial institutions in Saudi Arabia. Available online: https://sama.gov.sa (accessed on 28 September 2024).
Seddiq, M. (2023). Islamic finance and artificial intelligence: Challenges and opportunities. Journal of Islamic Finance.
Yahya, M., & Al-Farsi, H. (2023). Artificial intelligence applications in enhancing Shariah-compliant financial services: A review. Journal of Islamic Banking and Finance.
Zain, M., & Habib, M. (2018). The role of NLP in enhancing Sharia compliance. Journal of Islamic Financial Studies.
Zheng, L., & Liu, H. (2020). Transparency in AI decision-making processes. Journal of Artificial Intelligence Research.