The Legal Concept of Performative Copyright

Keywords: author, personality, human, creativity, copyright, generative neural network, performance, artisan, creative work, information, content

Abstract

The advancement of neural networks in developing technologies for generating information objects rooted in humanity’s scientific and artistic heritage has intensified scholarly debate regarding the nature of computer-generated products, their eligibility for copyright protection, and the rightful ownership of such copyrights. This issue is exacerbated by the sociocultural landscape becoming inundated with an unbounded quantity of content artifacts characterized by ambiguous legal statuses. Such saturation adversely affects the efficacy of intellectual property rights protection for human authors and impedes their capacity to utilize publicly accessible information for creative endeavors. The article critically examines the feasibility of automatic copyright protection amid the extensive generation of quasi-creative forms. The analysis centers on the legal conditions under which the creator of a generated artifact qualifies as a competent subject and the neural network-generated output qualifies as a protected work. It scrutinizes the legal capacity of claimants asserting authorship alongside the protectability of the alleged works in accordance with intellectual property doctrine criteria. The primary objective is to enhance the copyright acquisition mechanism to fulfill the institution’s goals within the emergent technological paradigm. The study introduces the concept of performative authorship, advocating for replacing the prevailing principle of automatic protection with a formal registration procedure for copyright conferral. A verification process is proposed for assessing the author’s legal capacity against defined criteria. Legal attributes distinguishing potentially protectable content generation outcomes from those disqualified as protected works are delineated. The paper hypothesizes and substantiates that the creative act evidences an inherently human inseparability of intellect and coordinated motor activity, culminating in the manifestation of a work in tangible form — a phenomenon defined here as the objectivation motor activity of creativity. The conclusion advocates broadening the doctrinal aims of copyright law to include the protection of the human author as an additional institutional objective.

Author Biography

Ruslan A. Budnik, National Research University Higher School of Economics

Doctor of Sciences (Law), Professor, National Research University Higher School of Economics, 20 Myasnitskya Str., Moscow 101000, Russia, rbudnik@hse.ru

References

Arewa O. (2007) The freedom to copy: copyright, creation, and context. UC Davis Law Review, vol. 41, pp. 477–558.

Baudrillard J. (1994) Simulacra and simulation. Ann Arbor: Michigan University Press, 108 p.

Boyle J. (2008) The public domain: enclosing the commons of the mind. New Haven: Yale University Press, 336 p.

Brunsmeier S., Diewald M., Reimann M. (2023) From computer-assisted work to the digital twins of humans: risks and opportunities for social integration in the workplace. In: Gräßler I. et al. (eds.) The Digital Twin of Humans. N.Y.: Springer, pp. 207–229.

Drucker P. (1996) The new realities. Oxford: University Press, 276 p.

Farley C. (2004) The lingering effects of copyright’s response to the invention of photography. University of Pittsburgh Law Review, vol. 65, no. 3, pp. 385–456.

Fichte J.G. (1793) Proof of the unlawfulness of reprinting. Berlin: Monatschrift, 483 p.

García K. (2020) Monetizing infringement. UC Davis Law Review, vol. 54, pp. 265–336.

Gonçalves B. (2024) Passed the turing test: Living in turing futures. Intelligent Computing, vol. 3, pp. 1–5.

Gray J. (2023) Copyright eligibility for AI-generated images: the threshold of human creativity. Gonzaga Law Review, vol. 59, no. 3, pp. 507–542.

Grimmelmann J. (2015) There’s no such thing as a computer-authored work –and it’s a good thing. Columbia Journal of Law & the Arts, vol. 39, no. 3, pp. 402–416.

Guilford J. (1959) Three faces of intellect. American Psychologist, vol. 14, no. 8, pp. 469–479.

Harvey S., Rietzschel E. (2022) Unpacking “ideas” in creative work: A multidisciplinary review. Academy of Management Annals, vol. 16. no. 2, pp. 621–656.

He X., Shan P. (2024). China’s regulations on the attribution of AI-generated content: an exploration based on the open-ended approach. Journal of Intellectual Property Law and Practice, vol. 19, no. 2, pp. 143–148.

Heidegger M. (2017) The origin of the work of art. In: D. Goldblatt et al. (eds.) Aesthetics. L.: Routledge, pp. 40–45.

Helfing R. (2019) Substantial similarity and junk science: reconstructing the test of copyright infringement. Fordham Intellectual Property, Media and Entertainment Law Journal, vol. 30, no. 3, pp. 735–766.

Hollaar L. (2016) Legal protection of digital information. N.Y.: Bloomberg, 498 p.

Jackson P. (2019) Females in the frame: women, art, and crime. Cham: Palgrave Macmillan, 223 p.

Jones M. (1987) Dynamic pattern structure in music: recent theory and research. Perception & psychophysics, vol. 41, no. 6, pp. 621–634.

Lombardi T. (2005) The classification of style in fine-art painting. PhD Thesis. Pace University.

Machlup F. (1962) The production and distribution of knowledge in the United States. Princeton (N.J.): University Press, 416 p.

Paducheva E.V. (2009) Articles from different years. Moscow: Jazyk, 736 p. (in Russ.)

Serebrovskiy V.I. (1956) Issues of Soviet copyright. Moscow: Academy of Sciences Press, 293 p. (in Russ.)

Simonton D. (2024) Combinatorial creativity and its constraints. In: Tromp C. et al. (eds.) Constraints in Creativity. Leiden: Brill, pp. 182–195.

Shumailov I. et al. (2024) AI models collapse when trained on recursively generated data. Nature, vol. 631, pp. 755–759.

Stewart T. (1997) Intellectual capital: the new wealth of organizations. N.Y.: Doubleday, 278 p.

Valery P. (1958) The art of poetry. Princeton (N.J.): University Press, 372 p.

Winograd T. (1972) Understanding natural language. Cognitive Psychology, vol. 3, no. 1, pp. 1–191.

Yankelevich M.S. (2013) Reflection of the author’s personality in a work of art. Izvestia Samarskogo nauchnogo centra Rossiyskoy akademii nauk=Bulletin of Samara Center, Russian Academy of Sciences, no. 15, pp. 163–168 (in Russ.)

Zimmerman D. (2006) The story of Bleistein v. Donaldson lithographing company: originality as a vehicle for copyright inclusivity. In: Intellectual Property Stories. J. Ginsburg (ed.). N.Y.: Foundation Press, 439 p.

Published
2026-03-24
How to Cite
BudnikR. A. (2026). The Legal Concept of Performative Copyright. Law. Journal of the Higher School of Economics, 19(1), 81-111. https://doi.org/10.17323/2072-8166.2026.1.81.111
Section
Russian Law: Condition, Perspectives, Commentaries