自ChatGPT等大语言模型问世以来，生成式人工智能迅速发展，广泛应用于文本、图像、音频、视频等内容创作的各个领域。生成式人工智能的模型训练需要利用大量数据，存在知识产权和个人隐私等方面的风险隐患，也日渐引起监管部门及行业企业对于数据合规的重视。本文列举生成式人工智能训练涉及的数据来源，分析国内外有关生成式人工智能的法律体系与制度规范，并给出数据合规的实施要点以及在具体业务中的实践探索，倡导相关企业在开发和应用生成式人工智能的过程中，做好数据合规体系建设，规范数据处理流程。
Since the advent of large language models such as ChatGPT，generative AI has developed rapidly and is widely used in various fields of content creation such as text，images，audio，and video. The model training of generative AI requires the use of a large amount of data，and there are risks and hidden dangers in terms of intellectual property rights and personal privacy，which has also attracted the attention of regulatory authorities and industry enterprises to data compliance. This paper lists the data sources involved in generative AI，analyzes the legal systems and institutional norms related to generative AI at home and abroad，and gives the key points of data compliance implementation and practical exploration in specific businesses，advocating that relevant enterprises should do a good job in the construction of data compliance system and standardize the data processing process in the process of developing and applying generative AI.
