REGULASI AI DALAM PASAR MODAL DIGITAL: TANTANGAN HUKUM TERHADAP ALGORITMA TRADING OTOMATIS, MANIPULASI PASAR, DAN PERLINDUNGAN INVESTOR RITEL
DOI:
https://doi.org/10.5281/zenodo.19691424Keywords:
AI regulation, automated trading algorithms, market manipulation, retail investor protection, digital capital market, Explainable AI, risk-based regulationAbstract
The artificial intelligence (AI) revolution has fundamentally transformed the digital capital markets, shifting trading mechanisms from human interaction towards an ecosystem dominated by high-speed automated trading algorithms. However, the integration of this technology presents complex legal challenges that have not yet been accommodated by conventional regulatory frameworks, particularly regarding the accountability of autonomous systems, the detection of algorithmic market manipulation, and the protection of retail investors from structural information asymmetry. This study employs a literature review method with a legal-normative approach to analyse regulatory gaps concerning AI in the Indonesian capital market. The findings reveal that existing provisions in Law No. 8 of 1995 on the Capital Market and OJK regulations are generic; they do not define technical parameters of AI-based manipulation such as spoofing, layering, and quote stuffing, and they obscure the attribution of legal liability in the event of systemic incidents caused by autonomous algorithms. Retail investors, who account for 85 per cent of all investors in the Indonesian capital market, face serious vulnerabilities due to temporal asymmetry, the exploitation of cognitive biases through dark patterns, and the absence of mandatory Explainable AI (XAI) mechanisms. This study recommends the adoption of a risk-based regulation approach that classifies AI systems according to risk level, obligations regarding algorithmic transparency and periodic independent audits, strengthening of supervisory capacity based on Regulatory Technology (RegTech), and cross-jurisdictional regulatory harmonisation to address cross-border manipulation. This comprehensive reform is an absolute prerequisite for establishing fair, accountable, and sustainable AI governance, ensuring that technological innovation does not compromise market integrity and the fundamental rights of retail investors within Indonesia’s digital capital market ecosystem.
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References
Act, E. A. I. (2024). The eu artificial intelligence act. European Union. https://www.wsgr.com/a/web/qrkz1SnNzWw6nk7B3oAyDa/10-things-you-should-know-about-the-eu-artificial-intelligence-act_v2.pdf
Alekseenko, A. (2023). Rights of investors in the context of algorithmic Artificial Intelligence technologies and automatization. Brazilian Journal of Law, Technology and Innovation, 1(2), 42–62. https://doi.org/10.59224/bjlti.v1i2.42-62
Amaliya, L., Dewi, S., Arafat, Z., Asyhadi, F., & Rosidawati, I. (2025). Marketplace Responsibilities and Sanctions in Cases of Consumer Losses (Futuristic Legal Perspective). Jurnal Hukum Dan Keadilan, 2(3), 1–12. https://doi.org/10.61942/jhk.v2i3.318
Cath, C., Wachter, S., Mittelstadt, B., Taddeo, M., & Floridi, L. (2018). Artificial Intelligence and the ‘Good Society’: The US, EU, and UK approach. Science and Engineering Ethics, 24(2), 505–528. https://doi.org/10.1007/s11948-017-9901-7
Eliyah, E., & Aslan, A. (2025). STAKE’S EVALUATION MODEL: METODE PENELITIAN. Prosiding Seminar Nasional Indonesia, 3(2), Article 2.
H. Newman, B., Mitchell, E., R. Nicolas, S., Owens, A., & E. Bashur, A. (2014). Recent regulatory developments provide some clarifications regarding the market access rule for broker-dealers. Journal of Investment Compliance, 15(3), 10–19. https://doi.org/10.1108/JOIC-08-2014-0034
Haas, F. P. (2007). The Markets in Financial Instruments Directive: Banking on Market and Supervisory Efficiency (SSRN Scholarly Paper No. 1087165). Social Science Research Network. https://papers.ssrn.com/abstract=1087165
Ikumapayi, O. J., & Ayankoya, B. B. (2025). AI-powered forensic accounting: Leveraging machine learning for real-time fraud detection and prevention. International Journal of Research Publication and Reviews, 6(2), 236–250.
Kirilenko, A. A., & Lo, A. W. (2013). Moore’s Law versus Murphy’s Law: Algorithmic Trading and Its Discontents. Journal of Economic Perspectives, 27(2), 51–72. https://doi.org/10.1257/jep.27.2.51
Krisnawati, T. A. D. (2018). Tinjauan Yuridis Terhadap Sanksi Atas Tindakan Manipulasi Pasar Di Pasar Modal (Studi Perbandingan Ketentuan Sanksi Di Indonesia Dan Amerika Serikat) [PhD Thesis, Universitas Brawijaya]. https://repository.ub.ac.id/9675/1/TITA%20AYU%20DIAH%20KRISNAWATI.pdf
McAfee, A., & Brynjolfsson, E. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton & Company.
Rosati, E. (2021). Copyright in the Digital Single Market: Article-by-Article Commentary to the Provisions of Directive 2019/790. Oxford University Press. https://doi.org/10.1093/oso/9780198858591.001.0001
S, R. M. A. H., & Gunadi, A. (2025). TANGGUNG JAWAB MARKETPLACE ATAS KERUGIAN KONSUMEN DALAM TRANSAKSI E-COMMERCE. Kertha Semaya: Journal Ilmu Hukum, 13(9), 2120–2133. https://doi.org/10.24843/KS.2025.v13.i09.p17
Stucke, M., & Ezrachi, A. (2016). Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy. Books. https://ir.law.utk.edu/utk_lawfacbooks/39
Tao, R., Su, C.-W., Xiao, Y., Dai, K., & Khalid, F. (2021). Robo advisors, algorithmic trading and investment management: Wonders of fourth industrial revolution in financial markets. Technological Forecasting and Social Change, 163, 120421. https://doi.org/10.1016/j.techfore.2020.120421
Yu, X., & Zhao, Y. (2019). Dualism in data protection: Balancing the right to personal data and the data property right. Computer Law & Security Review, 35(5), 105318. https://doi.org/10.1016/j.clsr.2019.04.001
Yuan, K., & Xu, D. (2020). Legal Governance on Fintech Risks: Effects and Lessons from China. Asian Journal of Law and Society, 7(2), 275–304. https://doi.org/10.1017/als.2020.14
Yudha, Sahril, I., & Atmadja3, D. A. R. W. (2025). Perlindungan Data Pribadi Konsumen, Dokumen dan Tanda Tangan Elektronik yang Dipergunakan oleh Pihak Ketiga dalam Transaksi E-Commerce. CENDEKIA : Jurnal Penelitian Dan Pengkajian Ilmiah, 2(2), 173–189. https://doi.org/10.62335/cendekia.v2i2.897
Yulianti, G., Chaidir, M., & Pramono, A. S. (2024). PERAN TEKNOLOGI KEUANGAN (FINTECH) DALAM MENDORONG PERTUMBUHAN EKONOMI DAN INKLUSI KEUANGAN DI INDONESIA: TANTANGAN DAN PELUANG. Citizen : Jurnal Ilmiah Multidisiplin Indonesia, 4(4), 349–355. https://doi.org/10.53866/jimi.v4i4.649
Zaki, M. Z. M., & Wardana, A. (2025). INDEPENDENSI OTORITAS JASA KEUANGAN (OJK) DALAM RANGKA PENGAWASAN LEMBAGA JASA KEUANGAN DI INDONESIA. Jurnal Al-Mashrafiyah Perbankan Syariah, 4(2), 20–34.
Zed, M. (2008). Metode Penelitian Kepustakaan. Yayasan Pustaka Obor Indonesia.
Zeng, J. (2020). Artificial intelligence and China’s authoritarian governance. International Affairs, 96(6), 1441–1459. https://doi.org/10.1093/ia/iiaa172
Zuboff, S. (2023). The Age of Surveillance Capitalism. In Social Theory Re-Wired (3rd ed.). Routledge.
Otoritas Jasa Keuangan. (2023). Laporan tahunan perkembangan pasar modal Indonesia 2022. OJK.
Otoritas Jasa Keuangan. (2024). Peraturan Otoritas Jasa Keuangan Nomor 27 Tahun 2024 tentang Penyelenggaraan Perdagangan di Pasar Aset Keuangan Digital. OJK.
Otoritas Jasa Keuangan. (2024). Peraturan Otoritas Jasa Keuangan Nomor 27 Tahun 2024 tentang Penyelenggaraan Perdagangan di Pasar Aset Keuangan Digital. OJK.
Otoritas Jasa Keuangan. (2024). Statistik transaksi algorithmic trading di Bursa Efek Indonesia. OJK.
Undang-Undang Republik Indonesia Nomor 21 Tahun 2011 tentang Otoritas Jasa Keuangan. Lembaran Negara Republik Indonesia Tahun 2011 Nomor 111. Sekretariat Negara.
Undang-Undang Republik Indonesia Nomor 8 Tahun 1995 tentang Pasar Modal. Lembaran Negara Republik Indonesia Tahun 1995 Nomor 64. Sekretariat Negara.
Undang-Undang Republik Indonesia Nomor 8 Tahun 1995 tentang Pasar Modal. Lembaran Negara Republik Indonesia Tahun 1995 Nomor 64. Sekretariat Negara.
