Core Insights - Data is a critical risk point for startups, even if it may not serve as a competitive moat [1] - Different types of user data, AI-generated content, and other data categories have varying legal risks and processing requirements [2] - For companies expanding overseas, prioritizing compliance risks is essential due to frequent litigation and infringement disputes [3] Group 1: Workshop Details - The workshop will feature partners Zheng Wei and Sun Qimin from Beijing Xingye Law Firm, focusing on compliance and high-risk issues faced by AIGC startups during international expansion [4] - The event is scheduled for December 18 at 8 PM and will be held online [5] - Participation is limited and requires a screening process for registration [6] Group 2: Data Usage and Compliance - During model training, it is crucial to determine which types of data, such as synthetic data, copyrighted content, and user behavior data, can be utilized [8] - Different data types, including code, images, and audio/video, present unique infringement risks that need to be addressed [8] - Questions regarding ownership of AI-generated content, as well as the delineation of data usage rights and intellectual property for ToB and ToC applications, are critical [10] - Companies must also consider how to manage cross-border data transfer, local storage, and data isolation when expanding internationally [10]
为什么一些公开数据不能拿来训练？AI 生成内容的版权到底归谁？
Founder Park·2025-12-17 02:34