Copyright Issues and Innovation Incentives in AI-Generated Content (AIGC)

Hanwen Zhao; Yuxuan Zhang

doi:10.71204/eg27ey53

Authors

Hanwen Zhao Beijing City University Author
Yuxuan Zhang Beijing City University Author

DOI:

https://doi.org/10.71204/eg27ey53

Keywords:

AIGC, AI-Generated Content, Copyright, Legal System, Innovation Incentives, Rights Attribution

Abstract

The rapid advancement of AI-generated content (AIGC) is profoundly reshaping the framework of cultural creation and knowledge production, prompting people to experiment with technological progress. From writing articles and generating images to composing music, AI's creativity is entering our lives at an unprecedented pace, continually expanding our understanding. Simultaneously, it presents two critical challenges: Who holds the copyright for these algorithmically “conceived” works? And how does determining ownership impact incentives for innovation? Traditional copyright law systems are built upon the foundation of “human author-centricity.” When the creator becomes a machine, this centuries-old framework struggles to keep pace. To address the vulnerabilities in protection and resolve the conflict between humans and AI, this paper will delve into this legal dilemma, enumerate its impacts on innovation incentives, and discuss feasible measures from individual, corporate, and national perspectives to mitigate AIGC risks. The issue of copyright attribution for AI-generated content is not only about ensuring creators and designers can work with peace of mind and investors can have confidence, but also about steering technology toward a sustainable development path. This ensures that the AI-driven wave of innovation can progress steadily and far, truly benefiting human society.

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