Intellectual Property Rights Issues in AI-Generated Content

Abstract

With the widespread application of AI-generated content across various fields, the issue of ownership of its intellectual property rights urgently requires resolution. This paper systematically analyzes the challenges posed by AI-generated content to the traditional intellectual property system, including the dilemma of identifying a subject and applying the originality standard. It further examines the limitations of theoretical debates such as the human authorship theory and the investment protection approach. Building on this analysis, the paper proposes systematic solutions, including establishing a tiered protection standard, constructing a rights allocation model that balances the interests of multiple parties, and improving the whole-chain safeguard mechanisms. These proposals aim to provide theoretical support for constructing an intellectual property governance framework adapted to technological development.