Legal Accountability for Artificial Intelligence-Based Decisions from a Modern Legal Perspective
DOI:
https://doi.org/10.62872/72achm15Keywords:
Artificial Intelligence, Legal Liability, Modern Law, AI Regulation, Algorithmic DecisionsAbstract
The rapid development of artificial intelligence (AI) technology has penetrated various sectors of human life, from healthcare and finance to law enforcement to government administrative decision-making. The integration of AI into decision-making processes raises a fundamental question in legal science: who is legally responsible when an algorithm-based decision causes harm to a third party. This study examines the construction of legal liability for AI-based decisions from a modern legal perspective, focusing on two main dimensions: the existing normative framework and applicable liability models. The research method used is normative legal research with statutory, conceptual, and comparative approaches. The results show that Indonesia's positive legal framework does not explicitly regulate liability for AI decisions, necessitating comprehensive legislative reform. Furthermore, the product liability and shared liability models are considered the most relevant for application in the AI context to ensure adequate legal protection for the public. This article concludes that a multi-actor approach with a specific regulatory framework for AI is the best solution that aligns with the principles of the rule of law.
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References
Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press.
Buiten, M. C. (2019). Towards Intelligent Regulation of Artificial Intelligence. European Journal of Risk Regulation, 10(1), 41–59.
Calo, R. (2017). Artificial Intelligence Policy: A Primer and Roadmap. UC Davis Law Review, 51(1), 399–435.
Chesterman, S. (2021). We, the Robots? Regulating Artificial Intelligence and the Limits of the Law. Cambridge: Cambridge University Press.
Diakopoulos, N. (2020). Accountability in Algorithmic Decision Making. Communications of the ACM, 59(2), 56–62.
Diantha, IMP (2020). Normative Legal Research Methodology in Justifying Legal Theory. Jakarta: Prenada Media.
Doshi-Velez, F., & Kim, B. (2021). Towards a Rigorous Science of Interpretable Machine Learning. arXiv preprint arXiv:1702.08608.
European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonized Rules on Artificial Intelligence (Artificial Intelligence Act). COM(2021) 206 final. Brussels: European Commission.
European Parliament. (2022). EU Artificial Intelligence Act: MEPs Adopt Their Negotiating Position. Press Release, June 14, 2023. Strasbourg: European Parliament.
Fauziyah, S., Mutafarida, B., & Yuliani, Y. (2024). INTERNALIZATION OF EXTERNAL COSTS IN SUPPLY: A MAQASID SYARIAH PERSPECTIVE. Khozana: Journal of Islamic Economics and Banking, 8(2).https://doi.org/10.69604/shd5hs67
Floridi, L., et al. (2021). An Ethical Framework for a Good AI Society. Minds and Machines, 28(4), 689–707.
Goodfellow, I., Bengio, Y., & Courville, A. (2020). Deep Learning. Cambridge: MIT Press.
Gunaedi, SA (2025). The Formation of Artificial Intelligence Law as Lex Specialis in Indonesia: A Comparative Study of European Union and United States Regulations. LEX DISCIPULUS LAW REVIEW, 1(01), 103-124.https://journal.ubaya.ac.id/index.php/LDLR/article/view/7225
Hasanuddin, M., & Nurfransiska, F. (2026). Regulation of Artificial Intelligence (AI) from an Indonesian Legal Perspective: A Normative Analysis of Challenges, Implications, and Ideal Regulatory Models. Judge: Jurnal Hukum, 6(06), 1890-1897.https://doi.org/10.54209/judge.v6i06.1632
Ibrahim, J. (2021). Normative Legal Research Theory and Methodology (4th ed.). Malang: Bayumedia Publishing.
Jiang, F., et al. (2022). Artificial Intelligence in Healthcare: Past, Present and Future. Stroke and Vascular Neurology, 2(4), 230–243.
Kamila, Z. (2025). Legal Regulations and Prospects for the Use of Artificial Intelligence in the Era of Digitalization of the Indonesian Judicial System. Journal of Multidisciplinary Research in Education, 2(3), 16-36.https://doi.org/10.71282/jurmie.v2i3.172
Kearns, M., & Roth, A. (2020). The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Oxford: Oxford University Press.
Ministry of Communication and Informatics of the Republic of Indonesia. (2020). Indonesia's National Artificial Intelligence Strategy 2020–2045. Jakarta: Ministry of Communication and Informatics of the Republic of Indonesia.
Civil Code (Burgerlijk Wetboek). Surabaya: Airlangga University Press.
Criminal Code (Wetboek van Strafrecht). Jakarta: Bumi Aksara.
Kitchin, R. (2017). Thinking Critically About and Researching Algorithms. Information, Communication & Society, 20(1), 14–29.
Lipton, Z. C. (2018). The Mythos of Model Interpretability. Queue, 16(3), 31–57.
Supreme Court of the Republic of Indonesia. (2021). Guidelines for Judicial Conduct and Code of Ethics. Jakarta: Supreme Court of the Republic of Indonesia.
Marzuki, PM (2021). Legal Research (Revised Edition). Jakarta: Kencana Prenada Media Group.
Pasquale, F. (2020). New Laws of Robotics: Defending Human Expertise in the Age of AI. Cambridge: Harvard University Press.
Presidential Regulation of the Republic of Indonesia Number 39 of 2019 concerning One Data Indonesia. State Gazette of 2019 Number 112.
Presidential Regulation of the Republic of Indonesia Number 95 of 2018 concerning Electronic-Based Government Systems. State Gazette of 2018 Number 182.
Rahardjo, S. (2022). Law and Social Change: A Theoretical Review and Experiences in Indonesia (Revised Edition). Yogyakarta: Genta Publishing.
Rama, BGA, Prasada, DK, & Mahadewi, KJ (2023). The urgency of regulating artificial intelligence (AI) in the field of copyright law in Indonesia. Jurnal Rechtens, 12(2), 209-224.https://doi.org/10.56013/rechtens.v12i2.2395
Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Hoboken: Pearson Education.
Soerjono Soekanto & Sri Mamudji. (2022). Normative Legal Research: A Brief Review (17th ed.). Jakarta: PT RajaGrafindo Persada.
Solum, L.B. (2022). Legal Personhood for Artificial Intelligences. North Carolina Law Review, 70(4), 1231–1287.
Surden, H. (2019). Artificial Intelligence and Law: An Overview. Georgia State University Law Review, 35(4), 1305–1337.
Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. New York: Knopf.
Law of the Republic of Indonesia Number 11 of 2008 concerning Electronic Information and Transactions as amended by Law Number 19 of 2016. State Gazette of 2016 Number 251.
Law of the Republic of Indonesia Number 12 of 2011 concerning the Formation of Legislation as amended by Law Number 15 of 2019. State Gazette of 2019 Number 183.
Law of the Republic of Indonesia Number 27 of 2022 concerning Personal Data Protection. State Gazette of 2022 Number 196.
Wachter, S., Mittelstadt, B., & Russell, C. (2020). Counterfactual Explanations Without Opening the Black Box. Harvard Journal of Law & Technology, 31(2), 841–887.
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