What are the differences in the legal attitudes towards AI content generation across different jurisdictions?

Differences in legal attitudes towards AI content generation across jurisdictions are mainly reflected in three aspects: copyright ownership, data usage compliance, and liability determination. Generally, the EU focuses on data protection and copyright risk prevention, the US tends to adopt flexible identification oriented towards market applications, and China emphasizes content compliance under the regulatory framework. EU: With the General Data Protection Regulation (GDPR) and the Artificial Intelligence Act as the core, it requires that AI content generation must obtain legal authorization for training data, and explicitly prohibits the generation of illegal or misleading content, with violators facing heavy fines. US: The Copyright Office currently does not recognize copyright for purely AI-generated content, but allows human authors to claim rights to AI-assisted creations; some states (such as California) also require AI-generated content to be clearly labeled with its source. China: The Interim Measures for the Management of Generative Artificial Intelligence Services stipulate that AI content must conform to core socialist values, undergo security assessment before generation, and platforms bear primary responsibility for the legality of content. When enterprises carry out cross-border AI content business, it is recommended to prioritize compliance review of the legal framework of the target market, focusing on data authorization, content labeling, and liability division to reduce legal risks across jurisdictions.