No external source link is registered for this Q&A.
What you may be facing
A Chinese technology company plans to launch its developed large language model in the international market. Against the backdrop of the 2026 World Artificial Intelligence Conference, the company must address differing regulatory requirements across jurisdictions regarding cross-border data transfer, user privacy protection, training data copyright, and AI model export controls, to avoid substantial fines, litigation risks, or business interruptions.
Why this needs attention
The overseas expansion of large AI models involves complex conflicts of laws across multiple jurisdictions. The EU implements strict GDPR and the AI Act, requiring data localization and specific obligations for General-Purpose AI (GPAI); the US has tightened export controls on AI models and implemented state-level privacy laws; and China imposes three thresholds for cross-border data transfer: security assessment, certification, and standard contract filing. Furthermore, copyright litigation concerning training data is prevalent globally, and the ownership of AI-generated content remains uncertain. Enterprises need to establish a robust compliance system to address regulatory scrutiny and potential infringement allegations.
What you can do now
- Establish a traceability system for training data, recording data sources, chains of authorization, and cleaning rules, to meet auditability requirements under regulations such as the EU AI Act.
- For the EU market, prioritize data localization deployment (with storage and inference nodes located within the territory), conduct Data Protection Impact Assessments (DPIA), and sign Standard Contractual Clauses (SCCs).
- Based on the scale of cross-border data transfer from the Chinese side (e.g., whether it involves personal information of more than 1 million individuals or important data), plan and initiate the security assessment, certification, or standard contract filing process 6–12 months in advance.
- Assess risks under US export controls; if the model's computing power or parameter scale reaches specified thresholds, apply for licenses from the Department of Commerce in advance; Chinese-owned structures must conduct CFIUS risk assessments.
- Implement tiered management of training data authorizations, prioritizing the use of proprietary or clearly authorized data, establishing opt-out mechanisms for copyrighted data, and deploying technical filters to prevent 'memorized outputs'.
This Q&A is compiled based on industry observations and general legal frameworks as of July 2026 and does not constitute specific legal advice. AI regulatory laws in various countries (such as implementing rules for the EU AI Act, US state privacy laws, and detailed rules for the security management of cross-border data transfer for artificial intelligence in China) are evolving rapidly. Specific compliance pathways require case-by-case assessment by professional lawyers, taking into account the enterprise's actual data scale, model type, and the latest legislative developments in target markets.
