Regulatory Reconstruction of AI-Generated Risk Profiling in Murabahah Financing: Harmonizing the Personal Data Protection Act, Hifz al-M?l, and Pancasila to Prevent Data-Driven Cybercrime
Keywords:
Mur?ba?ah Financing; AI Governance; Hifz Al-M?l; Pancasila Ethics; Personal Data Protection; Islamic Banking; Algorithmic TransparencyAbstract
This research investigates the fragmented regulatory governance surrounding artificial intelligence (AI)-generated risk profiling in mur?ba?ah financing within Indonesian Islamic banking, focusing on its alignment with the Personal Data Protection Act (PDP Act), the Islamic legal objective of hifz al-m?l (protection of wealth), and the ethical foundations of Pancasila. Conducted across three Islamic banking institutions in Jakarta and Bandung, the study employs a normative–empirical legal research design and draws on in-depth interviews with twelve purposively selected respondents, including risk management officers, cybersecurity specialists, shar??ah compliance personnel, and regulatory experts. Data were analyzed using statutory interpretation, comparative regulatory review, thematic coding, and qualitative risk assessment. The findings reveal that AI-generated profiling systems operate within a regulatory vacuum, characterized by inconsistent data protection practices, opaque algorithmic processes, and limited integration of shar??ah principles and Pancasila-based ethical values. The absence of fairness audits, explainability mechanisms, and AI-specific security controls heightens institutions’ exposure to data-driven cybercrime, while simultaneously undermining Islamic obligations to prevent harm and safeguard financial wellbeing. These results demonstrate that the PDP Act alone is insufficient to govern AI profiling in Islamic finance without harmonization with Islamic legal and ideological norms. The study proposes a Tri-Axial Regulatory Reconstruction Model as a pathway for establishing a coherent, ethically grounded, and legally compliant framework for AI adoption in Islamic banking.
References
Cristine, M. A., Mario, F., Risakota, A., & Celine, S. R. (2025). Perlindungan Data Pribadi dalam Sistem Skoring Kredit Otomatis oleh Fintech di Indonesia?: Analisis Yuridis Normatif Berdasarkan Undang- Undang Nomor 27 Tahun 2022. Jurnal Studi Hukum Modern, 7(3), 1–15.
Fitria, T. N. (2025). Islamic Banking Digitalization?: Challenges and Opportunities in the Era of Industrial Revolution 4 . 0. Jurnal Ilmiah Ekonomi Islam, 11(1), 1–19.
Hidayanti, N. F., Ariani, Z., Sahman, Z., & Syaharuddin. (2025). The Integration of Artificial Intelligence in Islamic Financial Services?: A Review on Digital Innovation for Sharia Financial Inclusion. Integrating Religion, Social, and Law: Conference Series, 1(1), 8–17.
Ikhwan, M. N., Bahiya, I. K., Safagutan, F., Syariah, M. E., Taufiq, A., & Darmawan, A. (2025). Problematics of Murabaha Agreement in Indonesian Islamic Banking?: A Systematic Literature Review. Journal of Sharia Finance and Banking, 5(1), 88–103.
Ma’unah, I., Musyarofah, S., Zahra, A. F. Z. A., & Agrariyanti, Y. (2025). Pancasila dan Artificial Intelligence?: Analisis Etis atas Regulasi AI di Indonesia Pancasila and Artificial Intelligence?: Ethical Analysis of AI Regulations in Indonesia. Jurnal Ilmiah Multidisiplin, 2(5), 718–746.
Mustapha, R., & Malkan, S. N. A. (2025). Maqasid Al-Shariah In The Ai Era: Balancing Innovation And Islamic Ethical Principles. International Journal of Islamic Theology and Civilisation, 3(3), 1–21. https://doi.org/10.5281/zenodo.15381828
Nugroho, F. (2025). Artificial Intelligence Regulation and Political Ethics?: An Analysis of Indonesia ’ s Position in AI Governance. PolitiScope: Journal of Political Innovation and Analysis, 2(1), 42–51.
OJK, O. J. K. (2023). Panduan Kode Etik Kecerdasan Buatan (Artificial Intelligence/AI) yang Bertanggung Jawab dan Terpercaya di Industri Teknologi Finansial. Otoritas Jasa Keuangan. https://www.ojk.go.id
Rachbini, E. M., Listiyanto, E., Dharma, A., Irhamna, P., Al, I., Adha, F., Maarif, B., & Firlana, A. M. (2023). Innovative credit scoring untuk inklusi keuangan. Institute for Development of Economics and Finance, 5.
Rejekiningsih, T., Hakimi, H., & Hakimi, H. (2023). Jurnal Civics?: Media Kajian Kewarganegaraan Exploring the integration of ideological values with artificial intelligence technology?: A legal awareness perspective Exploring the integration of ideological values with artificial intelligence technology?: . Jurnal Civics: Media Kajian Kewarganegaraan, 20(2), 236–247.
Rofi’i, Y. U. (2023). Financial Risk Management in Indonesian Banking?: The Integrative Role of Data Analytics and Predictive Algorithms. International Journal Software Engineering and Computer Science (IJSECS), 3(December), 300–309.
Rohmah, S. M., & Anisa, S. A. N. (2025). The Role Of Law In Supporting The Digital Economy Ecosystem In Indonesia: Opportunities And Challenges. Academic International Conference on Law Literacy 2nd, 85–91.
Solikhah, M. (2025). Personal Data Protection in the Era of Digital Transformation?: Challenges and Solutions in the Indonesian Cyber Law Framework. Indonesian Cyber Law Review, 2(1), 39–50.
Undang-Undang Republik Indonesia Nomor 27 Tahun 2022 Tentang Pelindungan Data Pribadi, Law of the Republic of Indonesia Number 27 of 2022 on Personal Data Protection (2022). http://https//www.abnrlaw.com (Translated version by Wishnu Basuki)
Yuspin, W., Wardiono, K., Nurrahman, A., & Budiono, A. (2024). Personal Data Protection Law in Digital Banking Governance in Indonesia. Studia Iuridica Lublinensia, 32(1), 99–130. https://doi.org/10.17951/sil.2023.32.1.99-130
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