Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)
Regulations governing algorithmic recommendation services (2022) and security assessment of generative AI services (2023), with amendments introduced in 2024 expanding oversight of AI‑generated content and recommendation algorithms.
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Framework Domains (10)
Algorithm Recommendation
| Code | Title |
|---|---|
| CN-AI-ALG-A10 | Protection of Minors |
| CN-AI-ALG-A11 | Protection of Elderly Users |
| CN-AI-ALG-A12 | Worker Protection (Gig Economy) |
| CN-AI-ALG-A14 | Algorithm Security Assessment |
| CN-AI-ALG-A7 | Algorithm Recommendation Service Filing |
| CN-AI-ALG-A8 | Algorithm Mechanism Transparency |
| CN-AI-ALG-A9 | User Choice and Opt-Out |
China AI Regulations: AI Accountability & Oversight
Human oversight and accountability for AI (China AI Regulations)
| Code | Title |
|---|---|
| CN-AI-16 | Human oversight mechanisms |
| CN-AI-17 | Accountability framework for AI systems |
| CN-AI-18 | AI incident reporting and response |
| CN-AI-19 | Regulatory compliance for AI |
| CN-AI-20 | Third-party AI audit requirements |
China AI Regulations: AI Data Governance
Governing data used in AI systems (China AI Regulations)
| Code | Title |
|---|---|
| CN-AI-11 | Training data quality and governance |
| CN-AI-12 | Data bias assessment and mitigation |
| CN-AI-13 | Data provenance and lineage tracking |
| CN-AI-14 | Privacy protection in AI training data |
| CN-AI-15 | Data retention for AI models |
China AI Regulations: AI Risk Management
Managing risks associated with AI systems (China AI Regulations)
| Code | Title |
|---|---|
| CN-AI-01 | AI risk identification and assessment |
| CN-AI-02 | AI system categorization by risk level |
| CN-AI-03 | Bias detection and mitigation |
| CN-AI-04 | AI model validation and testing |
| CN-AI-05 | Ongoing AI risk monitoring |
China AI Regulations: AI Safety & Security
Ensuring AI system safety and security (China AI Regulations)
| Code | Title |
|---|---|
| CN-AI-21 | AI system robustness and resilience |
| CN-AI-22 | Adversarial attack protection |
| CN-AI-23 | AI model security and integrity |
| CN-AI-24 | Safe AI deployment procedures |
| CN-AI-25 | AI system lifecycle management |
China AI Regulations: AI Transparency & Explainability
Ensuring transparency in AI decision-making (China AI Regulations)
| Code | Title |
|---|---|
| CN-AI-06 | AI system documentation requirements |
| CN-AI-07 | Algorithmic transparency measures |
| CN-AI-08 | Explainability requirements for high-risk AI |
| CN-AI-09 | User notification of AI interactions |
| CN-AI-10 | Record-keeping for AI decisions |
Cross-Cutting
| Code | Title |
|---|---|
| CN-AI-CSL-A21 | MLPS and Cybersecurity Obligations |
| CN-AI-PIPL-A24 | Automated Decision Transparency under PIPL |
Deep Synthesis
| Code | Title |
|---|---|
| CN-AI-DS-A17 | Conspicuous Label on Synthetic Content |
| CN-AI-DS-A19 | Deep Synthesis Filing |
| CN-AI-DS-A4 | Deep Synthesis Provider Real-Name and Consent |
Ethics
| Code | Title |
|---|---|
| CN-AI-ETH-REV | Science and Technology Ethics Review |
Generative AI Measures
| Code | Title |
|---|---|
| CN-AI-GAI-A10 | User Real-Name Verification |
| CN-AI-GAI-A11 | User Input and Conversation Records |
| CN-AI-GAI-A12 | Content Labelling and Identification |
| CN-AI-GAI-A13 | Minors Protection |
| CN-AI-GAI-A14 | Illegal Content Disposal |
| CN-AI-GAI-A15 | User Complaint Mechanism |
| CN-AI-GAI-A17 | Security Assessment Filing |
| CN-AI-GAI-A4 | Core Socialist Values and Content Compliance |
| CN-AI-GAI-A7 | Training Data Lawfulness |
| CN-AI-GAI-A8 | Data Labelling and Annotation Rules |
| CN-AI-GAI-A9 | Provider Responsibility for Output |
Your Compliance Coverage
If you comply with Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022), you already cover:
Brazil AI Framework
24%
12 controls mapped
Compare →Australia AI Ethics Framework
24%
12 controls mapped
Compare →OECD AI Principles
24%
12 controls mapped
Compare →+ 591 more: Japan AI Guidelines (24%), Singapore AI Governance Framework (24%)
See all 594 mapped frameworks ↓Maps to 594 other frameworks
Frequently Asked Questions
What is Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)?
Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) is a compliance framework from China with 10 domains and 49 controls. Regulations governing algorithmic recommendation services (2022) and security assessment of generative AI services (2023), with amendments introduced in 2024 expanding oversight of AI‑generated content and recommendation algorithms. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) have?
Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) has 49 controls organised across 10 domains. The largest domains are Generative AI Measures (11 controls), Algorithm Recommendation (7 controls), China AI Regulations: AI Accountability & Oversight (5 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) map to?
Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) maps to 594 other compliance frameworks. The top mapping partners are Brazil AI Framework (24% coverage), Australia AI Ethics Framework (24% coverage), OECD AI Principles (24% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) compliance?
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