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China’s 2024 cross-border data provisions set thresholds and exemptions for exporting personal information and important data.
AI training is not categorically exempt: teams must classify data, identify outbound transfers, and select the applicable assessment, standard-contract, certification, or exemption route.
The Cyberspace Administration of China’s Provisions on Promoting and Regulating Cross-Border Data Flow took effect on 22 March 2024. They clarify when data processors must apply for a security assessment, use a standard contract, or obtain personal-information protection certification. Data not identified or publicly announced as important data need not be declared important solely for a security assessment. Some specified business, research, and operational transfers without personal information or important data are exempt from these transfer mechanisms. Other limited personal-information exemptions cover certain contractual needs, cross-border HR management, emergencies, and small volumes. For a non-critical-information-infrastructure operator, exporting important data or at least one million people’s non-sensitive personal information, or at least 10,000 people’s sensitive personal information, generally triggers a data-export security assessment, subject to listed exemptions. Exporting 100,000 to fewer than one million people’s non-sensitive personal information, or fewer than 10,000 people’s sensitive personal information, generally requires a standard contract or certification, again subject to the stated exceptions. Critical information infrastructure operators have separate assessment triggers. Free-trade zones may create approved negative lists that affect which transfers require these mechanisms. AI training creates a data-flow question, not a special blanket category. Uploading Chinese personal information to a foreign cloud, sharing training records with an overseas model provider, or allowing an offshore team to access data may involve an outbound transfer. The processor should identify individuals, sensitivity, volume, purpose, recipient, and whether information is important data; then assess PIPL notices, separate consent, impact assessment, and export mechanism obligations. Synthetic or de-identified information is not automatically exempt if reidentification or personal information remains. Keep a transfer inventory tied to datasets, recipients, model-training stages, and subprocessors. Document exemptions and thresholds, check local free-trade-zone lists, and reassess when training expands to new people or data categories. The 2024 rules simplify selected transfers but retain security, personal-information, and contract duties.
Kemudaratan AI malapetaka dan setiap hari bergantung pada siapa yang memahami risiko dan siapa yang boleh bertindak.
Celik awam dan profesional membentuk sama ada dasar keselamatan yang kukuh adalah mungkin dari segi politik.
Penjelasan yang jelas mengurangkan tangkapan oleh gembar-gembur, PR makmal dan teater etika yang tidak jelas.
China’s CAC continues to refine cybersecurity and data-export administration, while free-trade zones can maintain different approved negative lists. Organizations should check the latest official rules before cross-border training or vendor changes. A threshold exemption removes specified transfer mechanisms only; it does not erase PIPL processing duties, data-security obligations, or other sector restrictions. Maintain an annual threshold counter and refresh it when a dataset or recipient changes. Record the rule used for each dataset and recipient, and check whether annual thresholds have been reached before a new export.
A research team confirms that an overseas training vendor cannot access personal information before claiming a data-only exemption.
A company counts individuals and classifies sensitive information before selecting an export mechanism.
A business checks whether a free-trade-zone negative list affects its proposed transfer.
A model team records notices, separate consent, contracts, and impact-assessment evidence for cross-border training data.
Merawat risiko kewujudan sebagai sci-fi manakala sebatian keupayaan.
Mengelirukan keselamatan produk permukaan dengan penjajaran di bawah autonomi tinggi.
Meninggalkan khalayak bukan Inggeris dan bukan pakar dengan hanya sumber berkualiti rendah.
Asingkan bahaya produk, penyalahgunaan dan kehilangan kawalan / risiko salah jajaran.
Tanya apakah bukti yang akan mengubah pandangan anda tentang garis masa dan keterukan.
Lebih suka sumber utama dan penilaian konkrit berbanding tuntutan pemasaran.
Kenal pasti satu laluan tindakan: kerjaya, dasar, pembiayaan atau kemahiran — bukan sahaja kesedaran.
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China’s 2024 cross-border data provisions set thresholds and exemptions for exporting personal information and important data. AI training is not categorically exempt: teams must classify data, identify outbound transfers, and select the applicable assessment, standard-contract, certification, or exemption route.
CAC issued the provisions on 22 March 2024, effective on publication.
The rules specify the one-million threshold for non-sensitive personal information.
The provisions set this transfer band for the non-CIIO route.
AI training has no blanket exemption; ordinary data-transfer provisions apply.
Approved FTZ lists can specify data subject to transfer mechanisms.
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