Research on Copyright of Generative Artificial Intelligence for Promoting Data Open Utilization
DOI:
https://doi.org/10.37420/j.mlr.2025.013Keywords:
Generative Artificial Intelligence, Copyright, Training DataAbstract
This article, through understanding the research status and frontier dynamics in the fields of artificial intelligence copyright and data openness, conducts a detailed analysis of typical cases such as the “Tremblay v. OpenAI class action” and the “Getty Images Corporation v. Stability AI Corporation” cases, revealing from a practical level the contradictions and actual issues between data openness and copyright protection. Meanwhile, by comparing the differences in data governance paths and legislation between the European Union and the United States, it summarizes experiences and lessons, exploring development paths and institutional models suitable for China based on foreign advanced experiences, fully combining with China’s national conditions and industrial development needs, and proposes suggestions for improving copyright to promote the openness of generative artificial intelligence data, providing a unique perspective and ideas for the healthy development of China’s generative artificial intelligence industry.