AI Research Summary
Before Human ReviewBased on abstract · Full text not reviewed
According to the abstract, this study examines the legal issues raised by large-scale scraping and use in the AI model training process, based on Chinese copyright law and related guiding opinions. Its purpose is to analyze what interpretive tensions the fair use principle faces in the AI environment as a mechanism for balancing creative incentives and the public interest. However, the abstract alone does not allow confirmation of specific conclusions or case evaluations.
Key Points from the Abstract
- It argues that the mass use of copyrighted works for AI training causes legal disputes.
- It examines the rules and limits of China's fair use system.
- It raises the issue that interpretive tensions in fair use are significant in the AI context.
Relevance to AI Law and Policy
This is a foundational source that examines the conflict between AI training data and copyright fair use from the perspective of Chinese law.
Limitations to Consider
- Only the abstract was provided, so the specific methods and results cannot be confirmed.
- The scope of empirical data and cases is not ascertainable from the abstract.
- As the full text was not reviewed, the author's final legal judgment cannot be confirmed.
Please compare with the original text before citing or using it in your assessment.
Abstract Preview
With the rapid development of artificial intelligence technology, the large-scale scraping and use of copyright-protecte…Read more in the abstract and original text Research Topic
Original text and source
The Normative Framework and Judicial Practice of China’s Fair Use System in Copyright Law from the Perspective of Artificial Intelligence
The Korean title on this page was translated by AI.- Database
- Crossref