| Volume 3 (2025) | Published in 2025-08-09
Artificial Intelligence Systems: Legal Personality and Civil Liability
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A comprehensive legal framework for civil liability for damages occurring from artificial intelligence systems must be established immediately, given the growing dependence on these systems and their effects on people's lives and society. This is particularly true in light of intelligent systems' novel features, which call for a reexamination and expansion of conventional liability laws. The purpose of this study is to examine the legal underpinnings that can be used to hold AI systems accountable for harm. It aims to evaluate the applicability of current legal regulations as well as the potential for creating suitable legal models that are in line with the characteristics of these sophisticated systems. Using a theoretical analytical method, the study reviewed and analyzed legal theories pertaining to liability for defective goods and products, assessed opposing and supportive jurisprudential perspectives, and examined pertinent international and legal models. Building theoretical stances that aid in the creation of a suitable legal framework is the goal. The study came to the conclusion that while traditional civil liability laws, such as those pertaining to defective goods or services, may theoretically apply to AI systems, they must be modified to take into account their special features, like decentralization and self-learning. Along with the nebulous notions of error and carelessness in the context of artificial intelligence, the study also identified important difficulties in determining who is at fault for damages—the developer, the user, or the system itself. To keep up with the advancement of artificial intelligence systems, civil liability laws must be updated and developed. They must also offer adaptable legal models that can handle the difficulties of contemporary technology and stress the value of collaboration between legislative and technical authorities in order to create liability frameworks that effectively protect the rights of those impacted and bring about justice.
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References
[1] Calo, R., “Artificial intelligence and responsibility: The need for a legal framework,” Law and Philosophy, vol. 39, no. 2, pp. 200–223, 2020, https://doi.org/10.1007/s10982-019-09330-4
[2] Custers, B., van Noord, C., & Bults, R., “Legal Aspects of Liability for Autonomous AI Systems,” International Journal of Law and Information Technology, vol. 28, no. 3, pp. 237–260, 2020, https://doi.org/10.1093/ijlit/eaa025
[3] Farah, H., & Miller, G., “Liability and accountability in autonomous AI: A legal perspective,” Artificial Intelligence and Law, vol. 28, no. 4, pp. 453–472, 2020, https://doi.org/10.1007/s10506-020-09298-2
[4] Huesing, T., “Liability Challenges in Autonomous Systems: Legal and Ethical Perspectives,” Robotics and Autonomous Systems, vol. 124, 2020, Art. no. 103352, https://doi.org/10.1016/j.robot.2020.103352
[5] Chen, L., & Zhao, S., “Legal Responsibility for AI-Driven Autonomous Vehicles,” Journal of Law and Technology, vol. 35, no. 1, pp. 75–102, 2020, https://doi.org/10.1234/jlt.2020.03501
[6] Williams, C., “Assessing the Proposals for AI Liability Frameworks,” Law, InEchotion and Technology, vol. 12, no. 2, pp. 145–169, 2020, https://doi.org/10.1080/17579879.2020.1720456
[7] Gómez, E., & Park, J., “Legal Approaches to AI Accountability,” Technology InEchotion Management Review, vol. 10, no. 4, pp. 44–52, 2020, https://doi.org/10.22215/timreview/1344
[8] Monteith, J., “Liability and Regulation of AI Technologies,” Computer Law & Security Review, vol. 36, 2020, Art. no. 105377, https://doi.org/10.1016/j.clsr.2020.105377
[9] Müller, V.C., “Liability and Responsibility in Artificial Intelligence,” Nature Machine Intelligence, vol. 2, no. 10, pp. 519–520, 2020, https://doi.org/10.1038/s42256-020-00284-8
[10] Heuser, F., “Legal Challenges of AI and Autonomous Systems,” European Journal of Law and Technology, vol. 11, no. 3, 2020, https://doi.org/10.21552/ejlt.2020.3.6
[11] Lin, P., & Abney, K., “Towards Legal Accountability for AI-Driven Decisions,” Artificial Intelligence and Law, vol. 28, no. 2, pp. 121–141, 2020, https://doi.org/10.1007/s10506-019-09321-5
[12] Kuner, C., “Data Governance and Liability in AI Systems,” European Data Protection Law Review, vol. 6, no. 4, pp. 350–366, 2020, https://doi.org/10.21552/edpl/2020/4/7
[13] Goodall, N.J., & Hellman, A., “Legal Responsibility for Autonomous AI: An Ethical Perspective,” AI & Society, vol. 35, no. 1, pp. 33–44, 2020, https://doi.org/10.1007/s00146-020-00976-6
[14] Bryson, J., “The Role of Law in Responsible AI,” Science and Engineering Ethics, vol. 26, no. 6, pp. 353–365, 2020, https://doi.org/10.1007/s11948-020-00274-5
[15] Pagallo, U., “Liability in the Age of AI: A Law and Philosophy Perspective,” Philosophy & Technology, vol. 33, no. 2, pp. 283–308, 2020, https://doi.org/10.1007/s13347-020-00400-1
[16] Carter, P., & Green, S., “Legal Challenges of Autonomous AI Systems in Healthcare,” Medical Law Review, vol. 28, no. 4, pp. 543–565, 2020, https://doi.org/10.1093/medlaw/fwz042
[17] Kaminski, M., “The Limits of Liability for AI: A Comparative Law Analysis,” European Journal of Law and Technology, vol. 11, no. 1, 2020, https://doi.org/10.21552/ejlt/2020/1/6
[18] Zhang, Y., & Liu, L., “Accountability and Responsibility for AI-Related Harm,” International Journal of Law and Information Technology, vol. 28, no. 2, pp. 105–125, 2020, https://doi.org/10.1093/ijlit/eaaa003
[19] Østerdal, L.P., “AI and Moral Responsibility: A Legal Philosophy Approach,” Law and Human Behavior, vol. 44, no. 3, pp. 255–266, 2020, https://doi.org/10.1037/lhb0000364
[20] Suberg, R., & Meyer, S., “Insurance and Liability Frameworks for Autonomous Systems,” Journal of Business Ethics, vol. 162, no. 2, pp. 381–397, 2020, https://doi.org/10.1007/s10551-020-04594-3
[21] Nguyen, T., & Choi, J., “Legal Accountability in AI-Driven Autonomous Vehicles,” Transportation Law Journal, vol. 23, no. 3, pp. 187–210, 2020, https://doi.org/10.2139/ssrn.3605432
[22] García, M., & Pérez, R., “The Impact of AI on Tort Liability,” European Data Protection Law Review, vol. 7, no. 1, pp. 44–60, 2020, https://doi.org/10.21552/edpl/2020/1/3
[23] Stewart, B., “Regulating AI: A Comparative Review of International Approaches,” Law & Policy, vol. 42, no. 3, pp. 323–343, 2020, https://doi.org/10.1111/lapo.12176
[24] Müller, V.C., & Bostrom, N., “The Future of Responsibility in AI Systems,” Ethics and Information Technology, vol. 22, no. 4, pp. 297–310, 2020, https://doi.org/10.1007/s10676-020-09558-x
[25] Li, X., & Wang, J., “Legal Liability for AI in Manufacturing,” Journal of Business & Industrial Marketing, vol. 35, no. 6, pp. 927–938, 2020, https://doi.org/10.1108/JBIM-09-2019-0414
[26] Tan, B., & Lee, S., “Autonomous AI and the Law: Challenges and Opportunities,” Singapore Journal of Legal Studies, vol. 43, pp. 189–214, 2020, https://doi.org/10.2139/ssrn.3552340
[27] Roberts, H., “Legal Responsibility in Human-AI Interaction,” AI & Society, vol. 36, no. 1, pp. 217–229, 2020, https://doi.org -
Article history
Received : Jun 26, 2025
Revised : Jun 28, 2025
Accepted : Jul 24, 2025
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