Copyright and Technological Transformations
A Study in the Context of Artificial Intelligence
DOI:
https://doi.org/10.61438/bsrqj.v3i2.177Keywords:
Artificial Intelligence, Copyright, Digital Intellectual Property, Non-human WorksAbstract
The proliferation of artificial intelligence applications in content creation has disrupted traditional notions of copyright and obscured the distinction between human and machine creativity. In this context, the current legal framework encounters uncertainties and inadequacies when addressing emerging issues. This study investigates the central question: What opportunities and challenges do AI-generated works pose for copyright protection? It examines the challenges and opportunities engendered by this technological transformation. The primary hypothesis asserts that the traditional copyright framework, with its exclusive emphasis on human elements, is insufficient to encompass works generated by AI fully. Consequently, to achieve justice, protect innovation, and enhance efficiency, a conceptual, legislative, and institutional revision at both the national and international levels is necessary. The principal research tools include library- and document-based studies from credible scientific sources, and the research method is descriptive-analytical. The findings reveal that ambiguities in determining the true author of works, potential infringement of authors' rights during the AI training process, absence of a unified global legal approach, and risk of market saturation with machine-generated content are significant challenges. Conversely, facilitating content creation for non-experts, enhancing productivity in digital publishing, utilizing smart contracts, and redefining the concept of "author" emerged as notable opportunities.
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