A Study on the Identification of Artificial Intelligence-generated Content Works and Copyright Attribution: Taking Sora, a Large Model of Text-generated Video, as an Example_Vol. 1 No. 4 (JEL 2024)_Journal of Economics and Law (ISSN: 3005-5768)

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A Study on the Identification of Artificial Intelligence-generated Content Works and Copyright Attribution: Taking Sora, a Large Model of Text-generated Video, as an Example

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DOI: https://doi.org/10.62517/jel.202414411

Author(s)

Yongqing Wang

Affiliation(s)

China Jiliang University, Hangzhou, Zhejiang, 310000, China

Abstract

The emergence of a large model of text-generated video, represented by Sora, sheds new light on the identification of works and the discussion of copyright attribution of AI-generated content. Under "anthropocentrism", works protected by copyright law have the requirement of originality, so whether the content generated by AI in text-generated videos meets the requirement of originality is of great significance for the determination of works. In addition, determining the copyright attribution of AI-generated content is conducive to the division of rights and obligations over AI-generated content. Based on the literature research method, this paper argues that as a tool for the creation of human spiritual products, the content generated by the text-generated video big model constitutes a work. And on the issue of copyright attribution, this paper argues that the model of meaning autonomy priority and agreement attribution should be adopted to determine the attribution of copyright.

Keywords

Artificial Intelligence-Generated Content; Text-Generated

References

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