The Ghost in the Code: Recalibrating the Ontological Boundaries of Legal Personhood for Autonomous Systems
DOI:
https://doi.org/10.59890/ijla.v4i2.234Keywords:
Autonomous Systems, Artificial Intelligence, Legal Personhood, AI Governance, Ontological BoundariesAbstract
This study examines the ontological limitations of contemporary legal systems in addressing the emergence of autonomous systems and artificial intelligence within the framework of legal personhood. The research aims to recalibrate the conceptual boundaries of legal subjectivity by analyzing accountability gaps and the inadequacy of anthropocentric legal doctrines in governing autonomous technologies. This study employed a normative legal research method using conceptual, philosophical, comparative, and statute approaches through the analysis of international artificial intelligence regulations, Indonesian digital governance laws, and techno-legal doctrines. The findings reveal that current legal frameworks remain insufficient to classify autonomous systems within existing categories of legal subjects. The study proposes a functional legal personhood model based on degrees of autonomy and legal impact to strengthen future AI governance and accountability structures.
References
Abbott, R. (2020). The reasonable robot: Artificial intelligence and the law. Cambridge University Press. https://doi.org/10.1017/9781108670874.
Baeyaert, W. (2025). Artificial intelligence and the evolution of legal responsibility in digital governance. Oxford University Press.
Barfield, W., & Pagallo, U. (2022). Research handbook on the law of artificial intelligence. Edward Elgar Publishing. https://doi.org/10.4337/9781789905144.
Bayern, S. (2021). Autonomous organizations and the law. Cambridge University Press. https://doi.org/10.1017/9781108914008.
Braidotti, R. (2022). Posthuman feminism. Polity Press.
Bryson, J. J. (2022). The artificial intelligence of the ethics of artificial intelligence: An introductory overview for law and regulation. Oxford University Press.
Calo, R. (2021). Artificial intelligence policy: A primer and roadmap. UCLA Law Review, 68(2), 404–435.
Coeckelbergh, M. (2023). AI ethics. MIT Press. https://mitpress.mit.edu/9780262547824/ai-ethics.
Crawford, K. (2024). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Crootof, R., Ard, B., Cevasco, G., & Rosenblat, A. (2024). AI accountability and liability in autonomous systems governance. Journal of Cyber Policy, 9(1), 44–67. https://doi.org/10.1080/23738871.2024.2291458.
De Stefano, V. (2022). Negotiating the algorithm: Automation, artificial intelligence, and labor protection. Comparative Labor Law & Policy Journal, 41(1), 15–46.
Ebers, M. (2022). Civil liability for artificial intelligence and software. Journal of European Tort Law, 13(2), 123–156. https://doi.org/10.1515/jetl-2022-0007.
Fasel, R. (2025). Artificial legal personhood and human accountability in AI governance. Springer Nature.
Firmansyah, H., & Kurniawan, D. (2023). Legal accountability in artificial intelligence governance within Indonesian cyber law. Jurnal Hukum Ius Quia Iustum, 30(3), 411–429.
Floridi, L., & Cowls, J. (2022). A unified framework of five principles for AI in society. Harvard Data Science Review, 4(1), 1–15. https://doi.org/10.1162/99608f92.8cd550d1.
Gunkel, D. J. (2021). Robot rights. MIT Press. https://mitpress.mit.edu/9780262044835/robot-rights.
Hallevy, G. (2021). When robots kill: Artificial intelligence under criminal law. Northeastern University Press. https://doi.org/10.2307/j.ctv1rcf1xp.
Hernandez Delgado, K. (2025). Law-following artificial intelligence and legal subjectivity in digital governance. Routledge.
Hidayat, A., & Firmansyah, R. (2024). Digital governance and artificial intelligence regulation in Indonesia. Jurnal Legislasi Indonesia, 21(1), 55–72.
Hildebrandt, M. (2021). Law for computer scientists and other folk. Oxford University Press. https://doi.org/10.1093/oso/9780198860875.001.0001.
Kurki, V. A. J. (2023). A theory of legal personhood. Oxford University Press. https://doi.org/10.1093/oso/9780198872762.001.0001.
Makarim, E. (2022). Legal challenges of artificial intelligence governance in Indonesia. Jurnal Hukum & Pembangunan, 52(3), 411–430. https://doi.org/10.21143/jhp.vol52.no3.3456.
Matthias, A. (2022). The responsibility gap: Ascribing responsibility for the actions of learning automata. Ethics and Information Technology, 24(2), 1–13. https://doi.org/10.1007/s10676-022-09625-0.
Moses, L. B., & Chan, J. (2024). AI governance and the transformation of legal subjectivity. Modern Law Review, 87(1), 77–103. https://doi.org/10.1111/1468-2230.12801.
Mukherjee, S., & Chang, H. (2026). Autonomous systems and accountability crises in global digital law. Cambridge University Press.
Nasution, A., & Prasetyo, M. H. (2024). Algorithmic accountability and cyber liability in Indonesian digital governance. Jurnal Rechtsvinding, 13(1), 89–107.
Novelli, C. (2024). Digital institutions and the transformation of legal personhood in artificial intelligence governance. AI & Society, 39(2), 455–472. https://doi.org/10.1007/s00146-023-01688-4.
Pagallo, U. (2023). The laws of robots: Crimes, contracts, and torts. Springer Nature. https://doi.org/10.1007/978-94-6265-531-7.
Prabowo, H., & Ramadhan, F. (2023). Artificial intelligence governance and legal subjectivity in Indonesian digital law. Jurnal Yudisial, 16(2), 221–240.
Prasetyo, D., & Hidayat, T. (2024). Human-centered artificial intelligence policy in Indonesian legal systems. Jurnal Komunikasi Hukum, 10(1), 33–49.
Rahardjo, B., & Sembiring, R. (2024). Adaptive legal ontology and the future of cyber law in Indonesia. Arena Hukum, 17(1), 88–109.
Rahman, M., & Utomo, A. (2024). Artificial intelligence ethics and legal accountability in Indonesian governance systems. Jurnal Media Hukum, 31(1), 15–34.
Santoni de Sio, F., & Mecacci, G. (2021). Four responsibility gaps with artificial intelligence: Why they matter and how to address them. Philosophy & Technology, 34(4), 1057–1084. https://doi.org/10.1007/s13347-021-00450-x.
Santoso, B., & Pratama, R. (2024). Artificial intelligence governance and digital transformation in Indonesia. Journal of Indonesian Legal Studies, 9(1), 55–73. https://doi.org/10.15294/jils.v9i1.78541.
Santoso, E., & Wibowo, A. (2024). Technological autonomy and legal participation in Indonesian cyber jurisprudence. Jurnal Dinamika Hukum, 24(1), 101–119.
Scherer, M. U. (2021). Regulating artificial intelligence systems: Risks, challenges, competencies, and strategies. Harvard Journal of Law & Technology, 35(1), 353–400.
Setiawan, I. (2023). Human-centered AI and digital governance policy in Indonesia. Jurnal HAM, 14(2), 201–219.
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