Copyright Compliance Pathways for Generative AI Training Data

ZHOU Enjie

High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (12) : 22.

主管:中国科学院
主办:中国科学院文献情报中心、中国高科技产业化研究会
ISSN:1006-222X
CN:11-3556/N
High-Technology and Commercialization ›› 2025, Vol. 31 ›› Issue (12) : 22.

Copyright Compliance Pathways for Generative AI Training Data

  • ZHOU Enjie
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Abstract

When generative artificial intelligence uses a vast amount of copyrighted works without the copyright holders’ permission during the training process, it is liable for infringement under China's existing legal framework. Copyright compliance has thus emerged as a crucial challenge that industry players cannot afford to ignore. However, the conventional compliance model of “authorization before utilization” encounters significant obstacles in the artificial intelligence domain. Moreover, the fair use doctrine fails to exempt profit - making model training, rendering the exploration of novel compliance approaches both urgent and indispensable. By delving into conclusive judicial decisions, we can discern the current judicial stance on copyright issues in artificial intelligence training in China. From this, we can reverse-engineer practical and actionable compliance strategies, thereby offering valuable guidance for the development of the artificial intelligence industry. 

Key words

generative AI / training data / copyright compliance

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ZHOU Enjie. Copyright Compliance Pathways for Generative AI Training Data[J]. High-Technology and Commercialization. 2025, 31(12): 22

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