Copyright in the Time of Change: Present and Future
Annotation
The article is dedicated to the relevant problem of regulation of intellectual property in the age of rapid development of digital technologies, neural networks, and artificial intelligence. The authors emphasize that traditional copyright based on the personal creative contribution of an individual faces serious challenges in view of the origination of works created fully by AI or with its considerable involvement. The article studies historical aspects of development of the authorship concept, modern legal conflicts and legal precedents, and relevance of review and update of laws. Increased attention is paid to an analysis of originality and creativity criteria that turn out to be insufficient for acknowledgment of works as AI-generated, resulting in legal uncertainty, registration limitations, potential disputes over plagiarism and liability of developers. The authors point out the need to develop new legal models such as differentiated recognition of authorship depending on the degree of human involvement, introduction of AI work labeling, creation of flexible regulation mechanisms, and international harmonization of regulations under the WIPO supervision. In the final part, the authors suggest enshrinement of new approaches in national laws, e.g., as a civil code section, to ensure a balance of interests of creators, AI developers, and the society, and to foster continuous innovative development. The main idea is that basic principles of intellectual property law need to be fundamentally revised, adapted to the new technological reality to maintain effectiveness, legal certainty, and encourage creative processes in the digital era.
Keywords
- intellectual property
- author's liability
- creative contribution
- AI-generated works
- originality criteria
- disputes over plagiarism
- liability of AI developers
- differentiated recognition of authorship
- AI work labeling
- international harmonization and adaptation of law in the digital era
- digital technologies
- neural networks
- artificial intelligence
| Type | Article |
| Information | Jurist № 03/2026 |
| Pages | 2-12 |
| DOI | 10.18572/1812-3929-2026-3-2-12 |
