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Metamorphoses of Labor Law Subjects in AI-driven World

https://doi.org/10.17803/2713-0533.2026.1.35.081-099

Abstract

The relevance of the paper stems from anticipated transition of contemporary digital society and the platform economy from Society 4.0 to Society 5.0, characterized by the increasing integration of physical and virtual environments and the expansion of metaverse technologies. This transformation raises fundamental questions regarding revolutionary changes in labor law, including the emergence of digital legal relations, digital subjects of labor law, and qualitatively new phenomena within the institutions of the special part of labor law. The research objective is to pose the problem of digital subjects (quasi-subjects) of labor law and to comprehend the metamorphoses that occur with employees and employers in AI-driven world. During the research, a set of general and special scientific methods was used: dialectics, concrete historical, sociological, comparative legal and system-functional methods, as well as forecasting and logical techniques. Principal results include the substantiation of metamorphosis occurring between the employer and employee in the platform economy and a new concept of digital workers and digital employers as potentially significant subjects of labor law, who will gradually displace classical workers, employees and employers under the transition to Society 5.0 in AI-driven world. The authors substantiate new doctrinal definitions and elements of the legal status of a digital worker and a digital employer. They forecast the development of legal regulation of new digital entities (quasi-subjects) of digital employment relations in Society 5.0.

About the Authors

K. L. Tomashevski
Kazan Innovative University named after V.G. Timiryasov (IEML)
Russian Federation

Kirill L. Tomashevski, Dr. Sci. (Law), Deputy Dean, Law Faculty; Professor, Department of Civil and Business Law

Kazan

Scopus Author ID: 13608916900



I. A. Filipova
Lobachevsky State University of Nizhny Novgorod
Russian Federation

Irina A. Filipova, Cand. Sci. (Law), Associate Professor, Department of Labour and Environmental Law

Nizhny Novgorod

Scopus Author ID: 57327205000



References

1. Adams-Prassl, J., Abraha, H., Kelly-Lyth, A., Silberman, M. “Six” and Rakshita, S., (2023). Regulating algorithmic management: A blue-print. European Labour Law Journal, 14(2), pp. 124–151, doi: 10.1177/20319525231167299.

2. Aleksandrov, N.G., (1948). Labour Legal Relationship. Moscow: USSR Ministry of Justice Publ. (In Russ.).

3. Aloisi, A. and De Stefano, V., (2018). European legal framework for “digital labour platforms”. Luxemburg: Publications OMce of the European Union, doi: 10.2760/78590. Available at: https://publications.jrc.ec.europa.eu/repository/handle/JRC112243 [Accessed 10.08.2025].

4. Aloisi, A. and De Stefano, V., (2022). Your Boss Is an Algorithm: Artificial Intelligence, Platform Work and Labour. Oxford: Hart Publishing.

5. Aloisi, A. and Gramano, E., (2019). Artificial intelligence is watching you at work. Digital surveillance, Employee monitoring and regulatory issues in the EU context. Comparative Labor Law & Policy Journal, 41(1), pp. 95–121.

6. Begichev, B.K., (1972). Labor Legal Capacity of Soviet Citizens. Moscow: Yuridicheskaya literature Publ. (In Russ.).

7. Bidden, J., (1992). Workers’ Participation: Influence on Management Decision-making by Labour in the Private Sector. Edited by Roger Blanpain. Bulletin of Comparative Labour Relations, 23. Deventer; Boston: Kluwer Law and Taxation Publishers.

8. Boufidis, D., Garg, R., Angelopoulos, E., Cullen, D.K. and Vitale, F., (2025). Bio-inspired electronics: Soft, biohybrid, and “living” neural interfaces. Nature Communications, 16(1), pp. 1861, doi: 10.1038/s41467-025-57016-0.

9. Channov, S.E., (2022). Robot (Artificial Intelligence system) as a subject (quasi-subject) of law. Aktual’nye problemy rossijskogo prava, 12, pp. 94–109, doi: 10.17803/1994-1471.2022.145.12.094-109. (In Russ.).

10. De Stefano, V. and Taes, S., (2022). Algorithmic management and collective bargaining. Transfer: European Review of Labour and Research, 29(1), pp. 21–36, doi: 10.1177/10242589221141055.

11. Drachuk, M.A., (2009). Subjects of Labor Law. Omsk: Omsk State University Press. (In Russ.).

12. Fedin, V.V., (2005). Legal Status of an Employee as a Subject of Labor Law. Moscow: Prospekt Publ. (In Russ.).

13. Filipova, I.A. and Koroteev, V.D., (2023). The Future of Artificial Intelligence: Object or Subject of Law? Journal of Digital Technologies and Law, 1(2), pp. 359–386, doi: 10.21202/jdtl.2023.15.

14. Filipova, I.A. and Tomashevski, K.L., (2025). The Concept of a Digital Employment Relationship. Law. Journal of the Higher School of Economics, 18(4), pp. 114–142, doi: 10.17323/2072-8166.2025.4.114.142.

15. Filipova, I.A., (2024). Intelligent Robots, Cyborgs, Genetically Enhanced Individuals, Chimeras: The Future and the Challenges of Law. Journal of Digital Technologies and Law, 2(4), pp. 741–781, doi: 10.21202/jdtl.2024.38.

16. Iwatsuki, Sh., (2025). Position of Japan Regarding Changes in Work Environment Following Introduction of AI Technology in Workplace: International Comparison Focusing on Reponses by Corporate. Japan Labor Issues, 9(53), pp. 3–19. Available at: https://www.jil.go.jp/english/jli/documents/2025/053-01.pdf [Accessed 17.03.2026].

17. Kahn-Freund, O., (1983). Labour and the Law. 3rd ed. Ed. by M. Freedland and P. Davies. London: Stevens & Sons.

18. Koops, B.-J., Di Carlo, A., Nocco, L., Casamassima, V. and Stradella, E., (2013). Robotic Technologies and Fundamental Rights: Robotics Challenging the European Constitutional Framework. International Journal of Technoethics, 4(2), pp. 15–35.

19. Korinek, A. and Stiglitz, J.E., (2019). Artificial Intelligence and its Implications for Income Distribution and Unemployment. In: Agrawal, A., Gans, J. and Goldfarb, A., editors. The Economics of Artificial Intelligence: An Agenda. Chicago: University of Chicago Press.

20. Linets, A.A., (2024). Labor Law and Economics. Moscow: Yustitsinform Publ. (In Russ.).

21. Martins, N.R.B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F.J., Opris, I., Lebedev, M.A., Swan, M., Garan, S.A., Rosenfeld, J.V., Hogg, T. and Freitas, R.A., (2019). Human Brain/Cloud Interface. Frontiers in Neuroscience, 13(112), pp. 1–24, doi: 10.3389/fnins.2019.00112.

22. Motina, E.V., Tomashevski, K.L. and Chichina, E.V., (2024). Legal Regulation of Atypical Forms of Employment in the Context of Digitalization and Regional Integration. Minsk: Amalfeya Publ. (In Russ.).

23. Pashkov, A.S. and Rotan, V.G., (1986). Social Policy and Labor Law. Moscow: Yuridicheskaya literature Publ. (In Russ.).

24. Prassl, J. and Risak, M., (2016). Uber, Taskrabbit, & Co: Platforms as Employers? Rethinking the Legal Analysis of Crowdwork. Comparative Labor Law & Policy Journal, 37, pp. 619–628.

25. Prassl, J., (2015). The Concept of the Employer. Oxford: Oxford University Press.

26. Rainone, S., (2025). Rethinking the Concept of the Employer in the Digital Economy: Corporate Fragmentation and Power Dynamics through Labour Law and Competition Law Lenses. Comparative Labor Law and Policy Journal. 45(1), pp. 147–174, doi: 10.60082/2819-2567.1026.

27. Sinzheimer, H., (1976). Arbeitsrecht und Rechtssoziologie: gesammelte Aufsätze und Reden. Frankfurt/Köln: Europäische Verlagsanstalt. 2 teil. T. 1. (In Germ.).

28. Snigireva, I.O., (1983). Trade Unions and Labor Law. Moscow: Yuridicheskaya literature Publ. (In Russ.).

29. Sowa, K. and Przegalinska, A., (2025). From Expert Systems to Generative Artificial Experts: A New Concept for Human-AI Collaboration in Knowledge Work. Journal of Artificial Intelligence Research, 82, pp. 2101–2124, doi: 10.1613/jair.1.17175.

30. Tomashevski, K.L., (2020). Digitalization and its impact on the labour market and employment relations (theoretical and comparative legal aspects). Vestnik of Saint Petersburg University. Law, 11(2), pp. 398–413, doi: 10.21638/spbu14.2020.210. (In Russ.).

31. Vasilyev, V.A., (2011). Representation in Labor Law. Chelyabinsk: Poligraf-Master Publ. (In Russ.).

32. Verdier, J.-M., (1978). Droit du travail. Paris: Dalloz. (In French).

33. Wang, X., Wu, Y.C., Ji, X. and Fu, H., (2024). Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices. Frontiers in Artificial Intelligence, 7, Art. 1320277, doi: 10.3389/frai.2024.1320277.

34. Weiss, M., (2022). A Legal Scholar without Borders. Selected Writings and Some Reflections on the Future of Labour Law. Milano: ADAPT University Press.

35. West, S.M., Whittaker, M. and Crawford, K., (2019). Discriminating systems: Gender, race and power in AI. New York: AI Now Institute.

36. Zabelina, O.V. and Sergeeva, M.V., (2024). Digital platform employment in Russia: Scale, legal features and development trends. Social and Labor Research, 57(4), pp. 8–20. (In Russ.).

37. Zaytseva, L.V., (2015). Representation and Mediation in Labor Law: A Comparative Study. Moscow: Prospekt Publ. (In Russ.).

38. Zhang, J., Han, B., Dong, Z., Wen, R., Lee, G.A., Hoermann, S., Zhang, W. and Piumsomboon, Th., (2024). Virtual triplets: a mixed modal synchronous and asynchronous collaboration with human-agent interaction in virtual reality. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ‘24), Article No. 366:1-8. New York: ACM, doi: 10.1145/3613905.3650766.


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For citations:


Tomashevski K.L., Filipova I.A. Metamorphoses of Labor Law Subjects in AI-driven World. Kutafin Law Review. 2026;13(1):81-99. https://doi.org/10.17803/2713-0533.2026.1.35.081-099

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