Copyright v. artificial Intelligence: Machine learning is not a Copyright use of a Work

Glotov Sergiy

Author information
ORCID ID https://orcid.org/0000‐0002‐6496‐4162

Keywords: artificial intelligence, copyright, machine learning, AI output, technology

Download PDF
Обкладинка. 4-й випуск

Abstract

The article is devoted to the issue of machine learning of artificial intelligence in terms of assessing such a primarily technical process from the point of view of copyright, namely, whether it should be considered that in this case the use of works is carried out. Given that such machine learning is usually carried out at the expense of protected works, as well as given the ambiguity of the attitude to this issue in society, which, on the one hand, is manifested in high-profile lawsuits against AI developers such as The New York Times v. OpenAI & Microsoft Inc. and, on the other hand, in various social initiatives aimed at promoting the development of AI tools and deepening public understanding of the benefits of AI, the issue under consideration is extremely important and interesting. The article focuses on the latest trends in the field of legislative initiatives with an emphasis on the law of the European Union. In particular, a brief description is given of the recently adopted Regulation (EU) 2024/1689 of June 13, 2024, which is also known as the EU Artificial Intelligence Law. It is noted that in the case of AI training using works that have passed into the public domain, the output results of AI will correspond to the level of knowledge of a century ago, i.e., will be irrelevant. In addition, old works can only be used in machine learning if they are digitized, which can only be done manually. This will slow down the development of the latest technologies in every sense. It is substantiated that what happens during AI machine learning is nothing more than «reading»: a special form of use of a work to which the author’s right does not apply. It is established that the use of a work for the purpose of machine learning is subject to the restriction on in-depth analysis of text and data regulated by Article 4 of Directive 2019/790/EU. It is proved that cultural creativity is unthinkable without the use of previous achievements of other authors. Therefore, since the output of AI is not a copyrightable object, in the context of AI machine learning, there are no actions significant from the point of view of copyright.

How to Cite

In accordance with DSTU 8302:2015:
Глотов С. Авторське право v. штучний інтелект. Чи є машинне навчання використанням. Цивілістична платформа. 2025. № 1 (4). С. 72-89. https://doi.org/10.69724/2786-8834-2025-4-1-72-89

According to the international style of APA:
Glotov, S. (2025) Copyright v. artificial Intelligence: Machine learning is not a Copyright use of a Work. С. P. Journal, 1 (4). https://doi.org/10.69724/2786-8834-2025-4-1-72-89 [in Ukrainian].

References

  1. Annex 1 to the Draft EU AI Act titled «Techniques and Concepts of AI». URL: https:// eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372-11eb-9585- 01aa75ed71a1.0019.02/DOC_2&format=PDF (accessed: January 28, 2025) [іn English]
  2. Bandy, J., & Vincent, N. (2021). Addressing «documentation debt» in machine learning research: A retrospective datasheet for BookCorpus. Retrieved from: https:// arxiv.org/abs/2105.05241 [іn English]
  3. Beurskens, M. (2025). Training generativer KI nur auf Lizenzgrundlage? Eine Analyse des rechtlichen Gutachtens von Dornis/Stober [Training generative AI only on a licensing basis? An analysis of the legal opinion by Dornis/Stober], Zeitschrift fьr Recht Digital (RDi), 1, 1–7 [in German]
  4. Chang, K. K., Cramer, M., Soni, S., & Bamman, D. (2023). Speak, memory: An archaeology of books known to ChatGPT/GPT-4. arXiv:2305.00118v2 [cs.CL] [іn English]
  5. Chiou, T. (2019). Copyright lessons on machine learning: What impact on algorithmic art? 10 JIPITEC, 398–411 [іn English]
  6. Clark, C. (1996). The Future of Copyright in a Digital Environment. Kluwer Law International, 139–146.[іn English]
  7. De la Durantaye, K. (2023). Garbage in, garbage out. Regulating generative AI through copyright law. ZUM 10/2023, 645–660. https://papers.ssrn.com/sol3/papers. cfm?abstract_id=4572952 [іn English]
  8. Directive 2019/790/EU on Copyright and Related Rights in the Digital Single Market and Amending Directives 96/9/EC and 2001/29/EC of 17 April 2019. https:// zakon.rada.gov.ua/laws/show/984_022-19#Text (accessed: January 20, 2025) [in Ukraine]
  9. Dornis, T. W., & Stober, S. (2024). Urheberrecht und Training generativer KI–Modelle: Technologische und juristische Grundlagen [Copyright and training of generative AI models: Technological and legal fundamentals] Series: Recht und Digitalisierung | Digitization and the Law – NOMOS Verlag (Vol. 19), 1st edition, 217 p. [in German]
  10. Dregelies, M. (2024). KI-Training unter dem AI Act [AI training under the AI Act] GRUR, 1484–1495 [in German]
  11. European Parliament and of the Council (2024, June 13) Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence and amending Regulations (EC) No 300/2008, (EU) No 167/2013, (EU) No 168/2013, (EU) 2018/858, (EU) 2018/1139 and (EU) 2019/2144 and Directives 2014/90/EU, (EU) 2016/797 and (EU) 2020/1828 (Artificial Intelligence Act) (Text with EEA relevance) https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689 (accessed: January 21, 2025) [іn English]
  12. Graves, A. (2013). Generating sequences with recurrent neural networks. arXiv preprint arXiv:1308.0850 [іn English]
  13. Griffths, J., Synodinou, T., & Xalabarder, R. (2023). Comment of the European Copyright Society Addressing Selected Aspects of the Implementation of Articles 3 to 7 of Directive (EU) 2019/790 on Copyright in the Digital Single Market. 72 GRUR Int., 22 [іn English]
  14. Hamann, H. (2024). Artificial intelligence and the law of machine-readability: A review of human-to-machine communication protocols and their (in)compatibility with Article 4(3) of the Copyright DSM Directive. 15 (2024) JIPITEC, 102 [іn English]
  15. Hofmann, F. (2016). Grundsatz der Technikneutralitдt im Urheberrecht? Zugleich Gedanken zu einem more technological approach [Principle of technology neutrality in copyright law? Thoughts on a more technological approach] Jahrgang 8 (2016) / Heft 4, 482–512 [in German]
  16. Hofmann, F. (2024). Zehn Thesen zu Kьnstlicher Intelligenz (AI) und Urheberrecht [Ten theses on artificial intelligence (AI) and copyright law] Zeitschrift fьr Wettbewerb in Recht und Praxis, 1, 11–18 [in German]
  17. Jagielski, M., Thakkar, O., Tramer, F., Ippolito, D., Lee, K., Carlini, N., Wallace, E., Song, S., Thakurta, A., Papernot, N., Zhang, C. (2023). Measuring forgetting of memorized training examples. arXiv:2207.00099v2 [cs.LG], 9 May [іn English]
  18. Kraetzig, V. (2024). KI-Kunst als schцpferische Zerstцrung([AI art as creative destruction). Neue Juristische Wochenschrift (NJW), 697–702 [in German]
  19. Masing, J. (2020). Maintaining balance. Journal for Legal Policy (ZRP), 194–198 Proposal for a Regulation of the European Parliament and the Council establishing harmonized rules on artificial intelligence (EU AI Act) amending certain legal acts of the Union. https://eur-lex.europa.eu/resource.html?uri=cellar:e0649735-a372- 11eb-9585-01aa75ed71a1.0019.02/DOC_1&format=PDF (accessed: January 28, 2025) [in Ukraine]
  20. Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449. Available at: https://legalinstruments.oecd.org/en/instruments/OECD–LEGAL-0449 [іn English]
  21. Schricker, G. (2006). Urheberrecht: Kommentar [Copyright: Commentary] C. H. BECK Verlag (3rd ed.), 2658 p [in German]
  22. Senftleben, M. (2023). Generative AI and author remuneration. 54 IIC, 1535 [іn English] Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Roziиre, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., & Lample, G. (2023). LLaMA: Open and efficient foundation language models. Retrieved from: https://arxiv.org/pdf/2302.13971 [іn English]
  23. Vaswani, A., Shazeer, N., & others. (2023). Attention is all you need. arXiv:1706.03762v7 [cs.CL], 1–15 [іn English]
  24. Vesala, J. (2023). Developing artificial intelligence-based content creation: Are EU copyright and antitrust law fit for purpose? 54 IIC, 351 [іn English]
  25. Zhornokui, Y. (2024) Comparative analysis of legal Personality of a legal Entity and artificial Intelligence within the Impact on Corporate Governance. С. P. Journal, 3. https://doi.org/10.69724/2786-8834-2024-3-3-98-112 [in Ukrainian].