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논문 기본 정보

자료유형
학술저널
저자정보
장하오화 (서남정법대학교 인공지능법학)
저널정보
한중사회과학학회 한중사회과학연구 한중사회과학연구 제22권 제3호
발행연도
2024.7
수록면
192 - 221 (30page)

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초록· 키워드

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There are contradictory cases about copyright infringement of TDM on AI training datasets in China. This inconsistency stems from the fact that the Regulation for the Implementation of the Copyright Law of the People’s Republic of China w as p romulgate d in 1991 and revised for the third time in 2013.However, no further revisions have been made in the intervening decade. Given the rapid changes in AI technology since 2013, this administrative regulation fails to keep pace with current realities. Article 21 of this administrative regulation “shall not affect the normal use of the work, nor shall it reasonably harm the legitimate interests of the copyright owner” is one of the bases for judicial decisions, so it reduces the predictability of justice and is not conducive to the development of the training dataset industry. The key focus of revising this administrative regulation is to propose countermeasures for constructing TDM rules for Chinese training datasets. This paper recommends the following amendments to the administrative regulation. Firstly, it is imperative to acknowledge that copyright owners and training datasets providers are two groups with conflicting interests, and they need to compromise. Secondly, the criterion for determining copyright infringement in the context of TDM for training datasets should be explicitly designated as the “three steps”, and the Chinese court no longer adopts the “four factors” standard. Thirdly, specify the responsible subjects involved in TDM activities, with a particular emphasis on the training dataset providers. This revised proposal is conducive to unifying the reasoning approaches of Chinese courts and promoting the development of the data industry and the AI sector. It is hoped that it will serve as a reference for China to revise this administrative regulation and formulate policies in the future.

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