Copyright Protection for AI-Generated Works: Positioning and Regulatory Approaches

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The current legal framework struggles to qualify rights holders for ai-generated content, leading to systemic risks.
Traditional originality assessment criteria fail to evaluate expressive differences in deep learning models' output effectively.
The legality surrounding copyright training data raises concerns over rights and responsibilities in dissemination within the context.
Urgent establishment of a new governance paradigm is necessary to incentivize innovation and balance diverse interest claims.

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This analysis highlights challenges in copyright for ai-generated content, suggesting a new governance paradigm for rights allocation.

F. Qi (2025) studied this question.

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