AI through the Prism of Its Legal Personality: Basic Characteristics
https://doi.org/10.17803/2713-0533.2025.2.32.362-383
Abstract
The issue of extending legal liability to artificial intelligence — that is broader than its legal capacity — has been within law and technology. The main array of questions in this area is focused on understanding the specific characteristics of artificial intelligence in the context of its regulation, which inevitably leads to a number of fundamental and applied questions. The integration of artificial intelligence into the legal framework requires a clear understanding of its functional capabilities and limitations. Its autonomy and ability to self-learn provide a basis for discussions about legal personality and the potential for accountability. Such considerations inevitably raise questions about how exactly artificial intelligence can participate in legal relationships, as well as what rights and obligations may be associated with its functioning. In this regard, one of the cornerstones remains the question of introducing artificial intelligence into the circle of entities subject to legal liability, which necessitates the exploration of existing approaches to defining this category and the subsequent step of developing acceptable conceptual approaches concerning the legal capacity of modern technologically complex systems. The main task of the research is to present the existing conceptual constructs, based on a detailed analysis of the existing concepts regarding artificial intelligence and its legal capacity.
Keywords
Supporting agencies: The study was carried out with the support of the Russian Science Foundation, project No. 24-28-01112. Available at: https://rscf.ru/project/24-28-01112/.
About the Authors
I. M. Yapryntsev
University of Tyumen
Russian Federation
Russian Federation
Ivan M. Yapryntsev, Cand. Sci. (Law), Head of “4 Bio” Lab, Department of Theoretical and Public Law Disciplines, Institute of State and Law
Tyumen
I. R. Khmelevskoi
University of Tyumen
Russian Federation
Russian Federation
Ilya R. Khmelevskoi, Master of Law, Institute of State and Law
Tyumen
N. A. Kalashnikov
University of Tyumen
Russian Federation
Russian Federation
Nikita A. Kalashnikov, Master of Law, Institute of State and Law
Tyumen
References
1. Aljanabi, M., (2023). ChatGPT: Future Directions and Open possibilities. Mesopotamian Journal of Cyber Security, 3, pp. 16–17, doi: 10.58496/MJCS/2023/003.
2. Begishev, I.P., (2021). Criminal and legal regulation of robotics: results of a sociological study. Social and political sciences, 4(11), pp. 82–91, doi: 10.33693/2223-0092-2021-11-4-82-91. (In Russ.).
3. Bratko, A.G., (2024). Artificial Intelligence, the Legal System and the Functions of the State. Moscow: Infra-M Publ. (In Russ.).
4. Calverley, D.J., (2008). Imagining a Non-Biological Machine as a Legal Person. AI & Society, vol. 22, No. 4, pp. 527–528, doi: 10.1007/s00146-007-0092-7.
5. Firth-Butterfield, K., Chae, Y., Allgrove, B. and Kitsara, I., (2018). Artificial Intelligence Collides with Patent Law. Geneva: White Paper. Center for the Fourth Industrial Revolution.
6. Gadjiev, G.A. and Voinikanis, E.A., (2018). Could be a Robot a Subject of Law (in Search of Legal Forms for a Digital Economy)? Pravo. Zhurnal Vysshey shkoly ekonomiki, 4, pp. 24–48, doi: 10.17323/2072-8166.2018.4.24.48. (In Russ.).
7. Gryszczyńska, A., Więckowski, Z., Veress, E., Ambrus, I. and Wielki, R., (2024). Legal Aspects of Artificial Intelligence. 194 p.
8. Gusarova, N.F., (2018). Introduction to the Theory of Artificial Intellect. Saint Petersburg: ITMO University. (In Russ.).
9. Humerick, M., (2018). Taking AI Personally: How the EU must learn to balance the interests of personal data and privacy and Artificial intelligence. Santa Clara High Technology Law Journal, 34(4), pp. 393–418. Available at: https://digitalcommons.law.scu.edu/chtlj/vol34/iss4/3 [Accessed 10.06.2024].
10. Hussian, D., Rahman, H. and Ali, M., (2024). Artificial Intelligence and Machine Learning Enhance Robot Decision-Making Adaptability and Learning Capabilities Across Various Domains. Global Mainstream Journal, 1(3), pp. 14–27, doi: 10.62304/ijse.v1i3.161.
11. Kibalnik, A.G. and Volosyuk, P.V., (2018). Artificial Intelligence: Doctrinal Criminal Law Questions Awaiting Answers. Legal Science and Practice: Journal of Nizhny Novgorod Academy of the Ministry of Internal Affairs of Russia, 4(44), pp. 173–178, doi 10.24411/2078-5356-2018-10428. (In Russ.).
12. Kotur, B., (2024). Distance Adaptation Networks (DAN). Novel Implementation of Artificial Neural Networks, doi: 10.13140/RG.2.2.11778.08644.
13. Kuteinikov, D.L., Igaev, O.A., Zenin, S.S. and Lebedev, V.A., (2021). Artificial Intelligence and Law: From Fundamental Problems to Applied Problems. Tyumen. (In Russ.).
14. Laptev, V.A., (2019). The concept of Artificial intelligence and legal responsibility for its operation. Pravo. Zhurnal Vysshey shkoly ekonomiki, 2, pp. 79–102. (In Russ.).
15. Lawless, W.F., Mittu, R., Sofge, D. and Hiatt, L., (2019). Artificial intelligence, Autonomy, and Human-Machine Teams — Interdependence, Context, and Explainable AI. AI Magazine, 40(3), pp. 5–13, doi: 10.1609/aimag.v40i3.2866.
16. Linarelli, J., (2019). Artificial General Intelligence and Contract. Uniform Law Review, 24(2), pp. 330–347, doi: 10.1093/ulr/unz015.
17. Lovell, J., (2024). Legal Aspects of Artificial Intelligence Personhood: Exploring the Possibility of Granting Legal Personhood to Advanced AI Systems and the Implications for Liability, Rights and Responsibilities, pp. 1–22. Available at: https://ssrn.com/abstract=4749785 [Accessed 15.05.2025].
18. Minaeva, A.I., (2022). On the Impact of Artificial Intelligence on Individual Subjects of Law. Obrazovanie i Pravo, 7, pp. 249–253, doi: 10.24412/2076-1503-2022-7-249-253. (In Russ.).
19. Morhat, P.M., (2017). Artificial intelligence: legal view. Moscow: Buki-Vedi Publ. (In Russ.).
20. Narendra, Y., Latika, S. and Urmila, D., (2024). Artificial Intelligence: The Future. International Journal of Scientific Research in Engineering and Management, 8(1), pp. 1–5, doi: 10.55041/IJSREM27796.
21. Ponkin, I.V. and Redkina, A.I., (2018). Artificial Intelligence from a Legal Perspective. Vestnik Rossiiskogo Universiteta Druzhby Narodov. Seriya: Yuridicheskie nauki, 1, pp. 91–109, doi: 10.22363/2313-2337-2018-22-1-91-109. (In Russ.).
22. Ruchkina, G.F., Demchenko, M.V. and Popova, A.V., (2021). Legal Regulation of Artificial Intelligence, Robots and Robotics Objects as a Condition for the Formation of Economic Leadership in Russia. Moscow: Prometei. (In Russ.).
23. Solum, L.B., (1992). Legal Personhood for Artificial Intelligences. North Carolina Law Review, 70, pp. 1231–1287. Available at: https://ssrn.com/abstract=1108671 [Accessed 17.06.2024].
24. Thommen, G. and Roland, B., (2019). Self-organizing maps for storage and transfer of knowledge in reinforcement learning. Adaptive Behavior. 27(2), pp. 111–126, doi: 10.1177/1059712318818568.
25. Xian, Y., Lampert, C.H., Schiele, B. and Akata, Z., (2020). Zero-Shot Learning — A Comprehensive Evaluation of the Good, the Bad and the Ugly. arXiv e-prints, doi: 10.48550/arXiv.1707.00600.
26. Yastrebov, O.A., (2018). Artificial Intelligence in the Legal Area. Vestnik Rossiiskogo Universiteta Druzhby Narodov. Seriya: Yuridicheskie nauki, 22(3), pp. 315–328, doi: 10.22363/2313-2337-2018-22-3-315-328. (In Russ.).
27. Yuwen, Sh., (2022). On Negativism of Legal Personality of Artificial Intelligence. Journal of Education, Humanities and Social Sciences, 1, pp. 90–96, doi: 10.54097/ehss.v1i.645.
28. Zhao, G., Li, Y. and Xu, Q., (2022). From Emotion AI to Cognitive AI. International Journal of Network Dynamics and Intelligence, 1(1), pp. 65–72, doi: 10.53941/ijndi0101006.
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For citations:
Yapryntsev I.M., Khmelevskoi I.R., Kalashnikov N.A. AI through the Prism of Its Legal Personality: Basic Characteristics. Kutafin Law Review. 2025;12(2):362-383. https://doi.org/10.17803/2713-0533.2025.2.32.362-383
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