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 (5)
Algorithm Recommendation
| Code | Title |
|---|---|
| CN-ALG-A10 | No Illegal Keywords in User Profiles |
| CN-ALG-A11 | Feed Ecology and Mainstream Value Orientation |
| CN-ALG-A12 | Ranking and Transparency Practices |
| CN-ALG-A14 | Prohibition on Algorithmic Manipulation |
| CN-ALG-A15 | No Unfair Restriction of Competitors |
| CN-ALG-A16 | Algorithm Transparency Disclosure to Users |
| CN-ALG-A17 | User Choice and Opt-Out |
| CN-ALG-A18 | Protection of Minors |
| CN-ALG-A19 | Protection of Elderly Users |
| CN-ALG-A20 | Worker Protection (Gig Economy) |
| CN-ALG-A21 | Consumer Protection (No Price Discrimination) |
| CN-ALG-A22 | Complaint and Reporting Mechanism |
| CN-ALG-A24 | Algorithm Filing |
| CN-ALG-A26 | Display of Filing Number |
| CN-ALG-A27 | Algorithm Security Assessment |
| CN-ALG-A28 | Audit Cooperation and Log Retention |
| CN-ALG-A7 | Algorithm Security Management System |
| CN-ALG-A8 | Periodic Algorithm Review (Anti-Addiction) |
| CN-ALG-A9 | Illegal and Harmful Information Handling |
Cross-Cutting
| Code | Title |
|---|---|
| CN-CSL-MLPS | MLPS and Cybersecurity Obligations |
| CN-PIPL-A24 | Automated Decision-Making Transparency (PIPL) |
Deep Synthesis
| Code | Title |
|---|---|
| CN-DS-A10 | Content Moderation and Violation Database |
| CN-DS-A14 | Training Data Security and Biometric Consent |
| CN-DS-A15 | Security Assessment of Editing Functions |
| CN-DS-A16 | Technical Marking of Synthetic Content |
| CN-DS-A17 | Conspicuous Labelling of Synthetic Content |
| CN-DS-A18 | No Tampering with Synthesis Identifiers |
| CN-DS-A19 | Deep Synthesis Filing |
| CN-DS-A20 | Security Assessment Before New Functions |
| CN-DS-A6 | Prohibited Use of Deep Synthesis |
| CN-DS-A7 | Deep Synthesis Security Management System |
| CN-DS-A9 | Real-Name Verification |
Ethics
| Code | Title |
|---|---|
| CN-ETH-REV | Science and Technology Ethics Review |
Generative AI Measures
| Code | Title |
|---|---|
| CN-GAI-A10 | Target Users and Minor Anti-Addiction |
| CN-GAI-A11 | Protection of User Input and Records |
| CN-GAI-A12 | Labelling of Generated Content |
| CN-GAI-A13 | Safe, Stable and Continuous Service |
| CN-GAI-A14 | Illegal Content Disposal and Reporting |
| CN-GAI-A15 | Complaint and Reporting Mechanism |
| CN-GAI-A16 | Categorised and Graded Supervision |
| CN-GAI-A17 | Security Assessment and Algorithm Filing |
| CN-GAI-A19 | Regulatory Inspection Cooperation |
| CN-GAI-A2 | Scope of Application |
| CN-GAI-A21 | Legal Liability for Violations |
| CN-GAI-A4 | Content Compliance and Prohibited Content |
| CN-GAI-A7 | Training Data Lawfulness |
| CN-GAI-A8 | Data Annotation Rules |
| CN-GAI-A9 | Provider Responsibility for Outputs |
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:
Maps to 5 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 5 domains and 48 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 48 controls organised across 5 domains. The largest domains are Algorithm Recommendation (19 controls), Generative AI Measures (15 controls), Deep Synthesis (11 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 5 other compliance frameworks. The top mapping partners are NIST AI Risk Management Framework (AI RMF 1.0) (38% coverage), OECD Recommendation on Artificial Intelligence (2024 Update) (23% coverage), GDPR (6% 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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