While large model technology is developing rapidly, its data source and copyright issues are becoming increasingly prominent. This article will explore the current status and challenges of data copyright disputes in the era of big models. In the process of massive data training, how to define copyright ownership and how to balance technological innovation and intellectual property protection have become difficult problems facing the industry. On the one hand, enterprises are actively seeking technical means to avoid risks. On the other hand, the lag in laws and regulations also makes supervision more difficult. There is an urgent need to build a sound legal framework and supervision mechanism.
In the era of large models, data hunger has led to copyright disputes, and regulations cannot clearly stipulate the copyright of large models. Companies use technical means to defend themselves, and legal supervision problems become more prominent. There is a risk of infringement in the large model training stage, and the industry faces potential development risks.
The rapid development of large model technology coexists with the severe challenges of copyright issues. The industry needs to work together to find a balance between technological innovation and legal supervision in order to promote the healthy and sustainable development of large model technology. In the future, a sound legal framework, clear copyright definitions, and effective technical solutions will be crucial.