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Article http://dx.doi.org/10.26855/jhass.2025.09.003

Construction of Hierarchical Protection System for AIGC Works Based on Human Creative Input

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Han Cao

Academy of Fine Arts, Zhoukou Normal University, Zhoukou 466000, Henan, China.

*Corresponding author: Han Cao

Published: September 26,2025

Abstract

The rapid proliferation of Artificial Intelligence Generated Content (AIGC) technologies has created unprecedented challenges for traditional intellectual property protection frameworks, necessitating a fundamental reconsideration of authorship and originality concepts in copyright law. This paper proposes a novel hierarchical protection system that systematically categorizes AIGC works based on the degree of human creative input, addressing the current regulatory ambiguity and providing operational clarity for legal practitioners and content creators. Through comprehensive analysis of existing legal frameworks, emerging case law, and technological developments, we establish a fourtier classification system that correlates protection levels with human creative involvement. Our framework considers multiple factors, including prompt complexity, human supervision intensity, post-generation modification extent, and creative decision-making involvement throughout the creation process. The proposed system offers differentiated protection periods ranging from limited short-term protection for minimally human-guided works to full copyright protection for AI-assisted human creations. This research contributes significantly to the theoretical foundation of AIGC copyright law while offering practical solutions for navigating the complex intersection of artificial intelligence and intellectual property protection.

Keywords

AIGC; Artificial intelligence; Copyright protection; Intellectual property; Human creativity; Hierarchical classification; Authorship, Originality

References

Abbott, R. (2016). I think, therefore I invent: Creative computers and the future of patent law. Boston College Law Review, 57(4), 1079-1126.

Cao, Y. (2025). Research on AIGC Copyright Infringement and Prevention Strategies [Master’s thesis, Jilin International Studies University].

Grimmelmann, J. (2023). Copyright for literate robots. Iowa Law Review, 108(2), 431-503.

Lemley, M. A., & Casey, B. (2019). Remedying robots: Compensation and moral agency in the age of artificial intelligence. Boston University Law Review, 99(4), 1311-1393.

Liu, T. (2025). Risk Management of Copyright Crimes in AIGC Era: Technical Dilemma, Theoretical Embedding and Criminal Law Response. Journal of Xidian University (Social Science Edition), 35(2), 97-106.

Ramalho, A. (2017). Will robots rule the (artistic) world? A proposed model for the legal status of creations by artificial intelligence systems. Journal of Internet Law, 21(1), 12-25.

Xu, W. (2025). The intellectual transformation of film art: opportunities, challenges and approaches of AIGC application. Journal of Huangshan University, 27(3), 52-59.

Yanisky-Ravid, S., & Liu, X. (2018). When artificial intelligence systems produce inventions: The 3A era and an alternative model for patent law. Cardozo Law Review, 39(5), 2215-2063.

Zuo, L., & Liu, C. (2024). Innovation and application of design education model based on AIGC. Art Education, (12), 81-84.

How to cite this paper

Construction of Hierarchical Protection System for AIGC Works Based on Human Creative Input

How to cite this paper: Han Cao. (2025) Construction of Hierarchical Protection System for AIGC Works Based on Human Creative Input. Journal of Humanities, Arts and Social Science, 9(9), 1709-1715.

DOI: http://dx.doi.org/10.26855/jhass.2025.09.003