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The Use of Artificial Intelligence in Corporate Management: Legal Issues

https://doi.org/10.17803/1994-1471.2026.185.4.091-108

Abstract

The rapid spread of artificial intelligence (AI) in all spheres of society has also affected the area of corporate governance. While foreign scholars are actively exploring the prospects and challenges of using algorithms in corporate management, this topic has not received sufficient attention in Russian-language legal literature. The aim of this study is to fill this gap. The author identifies and examines a number of problematic aspects arising from the implementation of AI systems in corporate governance, stemming both from the general characteristics of artificial intelligence (lack of transparency and explainability, possible algorithmic bias) and from traditional corporate governance issues (the agency problem, duties and responsibilities of governing bodies, the impact of corporate activities on stakeholders). Solutions to the main problems associated with the use of AI in corporate management are proposed.

About the Author

M. V. Kirilova
YaPartners Consulting LLC
Russian Federation

Maria V. Kirilova - Lawyer, YaPartners Consulting LLC.

Moscow



References

1. Bamburov V. A. Primenenie tekhnologiy iskusstvennogo intellekta v korporativnom upravlenii // Gosudarstvennaya sluzhba. — 2018. — № 3 (113). — S. 23–28.

2. Bostrom N. Iskusstvennyy intellekt. Etapy. Ugrozy. Strategii / per. s angl. S. Filina. — M., 2016. — 404 s.

3. Zub A., Petrova K. Iskusstvennyy intellekt v korporativnom upravlenii: vozmozhnosti i granitsy primeneniya // Gosudarstvennoe upravlenie. Elektronnyy vestnik. — 2022. — № 94. — S. 173–187.

4. Klyuchareva E. M. Pravilo zashchity delovogo resheniya v delakh o privlechenii k otvetstvennosti direktorov: zakonodatelstvo i praktika shtata Delaver (SShA), Germanii i Rossii // Zakon. — 2015. — № 11. — S. 132–141.

5. Milovidov V. D. Korporativnoe upravlenie 2.0: evolyutsiya sistemy korporativnykh otnosheniy v informatsionnom obshchestve // Problemy natsionalnoy strategii. — 2017. — № 4. — S. 171–189.

6. Moryakov M. M., Myavlina N. Zh. Primenenie tekhnologiy iskusstvennogo intellekta v sisteme korporativnogo upravleniya // XVIII Mezhdunarodnyy kongress (mezhdunarodnaya nauchno-prakticheskaya konferentsiya) «Rol biznesa v transformatsii obshchestva — 2023»: sbornik materialov. — M., 2023. — S. 64–68.

7. Nikishova M. I. Primenenie tekhnologiy iskusstvennogo intellekta v sisteme korporativnogo upravleniya: dis. … kand. ekon. nauk. — M., 2021. — 165 s.

8. Smit A. Issledovanie o prirode i prichinakh bogatstva narodov. — 4-e izd. — M., 1962. — 684 s.

9. Stepanov D. I., Mikhalchuk Yu. S. Otvetstvennost direktora pered korporatsiey za prichinennye ey ubytki v sudebnoy praktike. — M., 2018. — 207 s.

10. Tokmakov M. A. Perspektivy primeneniya iskusstvennogo intellekta v korporativnom upravlenii // Voprosy ekonomiki i prava. — 2022. — № 168. — S. 53–58.

11. Kharitonova Yu. S. Pravovye sredstva obespecheniya printsipa prozrachnosti iskusstvennogo intellekta // Journal of Digital Technologies and Law. — 2023. — № 1 (2). — S. 337–358.

12. Kharitonova Yu. S., Savina V. S., Panini F. Predvzyatost algoritmov iskusstvennogo intellekta: voprosy etiki i prava // Vestnik Permskogo universiteta. Yuridicheskie nauki. — 2021. — Vyp. 53. — S. 488–515.

13. Shitkina I. S., Biryukov D. O. Iskusstvennyy intellekt: pravovye aspekty. Chast 1 // Pravo i ekonomika. — 2023. — № 11. — S. 5–14.

14. Yankovskiy R. M. Vnedrenie informatsionnykh tekhnologiy i iskusstvennogo intellekta v praktiku korporativnogo upravleniya: kolichestvennoe issledovanie. Natsionalnyy sovet po korporativnomu upravleniyu, 2023. — 66 s. — URL: https://publications.hse.ru/pubs/share/direct/877480404.pdf (data obrashcheniya: 04.09.2025).

15. Armour J., Eidenmueller H. G. M. Self-Driving Corporations? // European Corporate Governance Institute — Law Working Paper No. 475/2019. — 44 p.

16. Armour J., et al. Putting Technology to Good Use for Society: The Role of Corporate, Competition and Tax Law // European Corporate Governance Institute (ECGI) — Law Working Paper No. 427/2018. — 2018. — 36 p.

17. Armour J., Hansmann H., Kraakman R. Agency Problems and Legal Strategies // The Anatomy of Corporate Law: A Comparative and Functional Approach / Kraakman R., et al. (eds). — 3d ed. — Oxford, 2017. — P. 29–47.

18. Bathaee Y. The artificial intelligence black box and the failure of intent and causation // Harvard Journal of Law & Technology. — Spring 2018. — Vol. 31. — No. 2. — P. 889–938.

19. Brynjolfsson E., McAfee A. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. — N.Y., 2014. — 336 p.

20. Chiu I., Lim E. Technology vs Ideology: How Far will Artificial Intelligence and Distributed Ledger Technology Transform Corporate Governance and Business? // Berkeley Business Law Journal. — 2020. — Vol. 18. — No. 1. — 52 p.

21. Cihon P., Schuett J., Baum S. D. Corporate Governance of Artificial Intelligence in the Public Interest // Information 12. — 2021. — No. 7 (275). — 30 p.

22. Doshi-Velez F., et al. Accountability of AI Under the Law: The Role of Explanation // SSRN Electronic Journal. — 2017. — 21 p. — URL: https://www.researchgate.net/publication/320867322_Accountability_of_AI_Under_the_Law_The_Role_of_Explanation (data obrashcheniya: 04.09.2025).

23. Enriques L., Zetzsche D. A. Corporate Technologies and the Tech Nirvana Fallacy // European Corporate Governance Institute (ECGI) — Law Working Paper No. 457/2019. — 2019. — 51 p.

24. Erel I., et al. Selecting Directors Using Machine Learning // Fisher College of Business Working Paper No. 2018-03-005. — 2020. — 62 p.

25. Fenwick M., Vermeulen E. Technology and Corporate Governance: Blockchain, Crypto, and Artificial Intelligence // European Corporate Governance Institute (ECGI) — Law Working Paper No. 424/2018. — 26 p.

26. Fischer G. End-User Development: Empowering Stakeholders with Artificial Intelligence, Meta-Design, and Cultures of Participation // End-User Development. Lecture Notes in Computer Science / D. Fogli, et al. (eds). — Springer, 2021. — Vol. 12724. — 17 p.

27. Hacker P., et al. Explainable AI under contract and tort law: legal incentives and technical challenges // Artificial Intelligence and Law. — 2020. — Vol. 28. — P. 415–439.

28. Hamdani A., et al. Technological Progress and the Future of the Corporation // Journal of the British Academy. — 2018. — Vol. 6 (s1). — P. 215–245.

29. Kamalnath A. The Perennial Quest for Board Independence — Artificial Intelligence to the Rescue? // Albany Law Review. — 2020. — P. 43–60.

30. Knetsch J. Are Existing Tort Theories Ready for AI? A Continental European Perspective // The Cambridge Handbook of Artificial Intelligence: Global Perspectives on Law and Ethics / DiMatteo L. A., Poncibò C., Cannarsa M. (eds). — Cambridge, 2022. — P. 99–115.

31. Krieger G., Schneider U. H. (Hrgb.). Handbuch Managerhaftung: Vorstand, Geschäftsführer, Aufsichtsrat. Pflichten und Haftungsfolgen. Typische Risikobereiche. — 4. Auflage. — Köln, 2023. — 616 S.

32. Lieder J. From Corporate Governance to Algorithm Governance: Artificial Intelligence as a Challenge for Corporations and Their Executives // The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives / Voeneky S., Kellmeyer P., Mueller O. (eds). — Cambridge, 2022. — P. 331–346.

33. Mertens F. The Use of Artificial Intelligence in Corporate Decision-Making at Board Level: A Preliminary Legal Analysis // Financial Law Institute Working Paper Series 2023-01. — 29 p.

34. Mittelstadt B., et al. The Ethics of Algorithms: Mapping the Debate // Big data & Society. — July–December 2016. — Vol. 3. — Iss. 2. — 68 p.

35. Möslein F. Robots in the Boardroom: Artificial Intelligence and Corporate Law // Research Handbook on the Law of Artificial Intelligence / Barfield W., Pagallo U. (eds). — Cheltenham, 2018. — P. 649–670.

36. Petrin M. Corporate Management in the Age of AI // Columbia Business Law Review. — 2019. — № 3. — P. 965–1030.

37. Picciau C. The (Un)Predictable Impact of Technology on Corporate Governance // Hastings Business Law Journal. — 2021. — Vol. 17. — P. 67–135.

38. Ricci S. A. G. Artificial Agents in Corporate Boardrooms // Cornell Law Review. — 2020. — Vol. 105. — P. 869–908.

39. Tjin Tai E. T. Liability for AI Decision-Making // The Cambridge Handbook of Artificial Intelligence: Global Perspectives on Law and Ethics / DiMatteo L. A., Poncibò C., Cannarsa M. (eds). — Cambridge, 2022. — P. 116–132.

40. Wendehorst C. Liability for Artificial Intelligence: The Need to Address Both Safety Risks and Fundamental Rights Risks // The Cambridge Handbook of Responsible Artificial Intelligence: Interdisciplinary Perspectives / Voeneky S., Kellmeyer P., Mueller O. (eds). — Cambridge, 2022. — P. 187–209.

41. Yampolskiy R. V. Unexplainability and incomprehensibility of artificial intelligence. 2019 // URL: https://arxiv.org/ftp/arxiv/papers/1907/1907.03869.pdf (data obrashcheniya: 04.09.2025).

42. Zhao J. Artificial Intelligence and Corporate Decisions: Fantasy, Reality or Destiny // Catholic University Law Review. — 2022. — № 71. — P. 663–698.


Review

For citations:


Kirilova M.V. The Use of Artificial Intelligence in Corporate Management: Legal Issues. Actual Problems of Russian Law. 2026;21(4):91-108. (In Russ.) https://doi.org/10.17803/1994-1471.2026.185.4.091-108

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ISSN 1994-1471 (Print)
ISSN 2782-1862 (Online)