China's Market Regulation Authority Releases AI Ethics And Safety Guidelines For Large Models

Recently, China's National Cybersecurity Standardization Technical Committee officially issued the "Guidance on Ethical and Security Practices for Artificial Intelligence Applications (Version 1.0)". This pivotal document was co-drafted by industry leaders and research institutions, including Alibaba, Huawei, and DeepSeek. It signifies a new phase for China's AI ethics and security governance, moving from "top-level policy" to "technical standard implementation."

Core Focus of the Document:

This guidance serves as a principle-based technical reference. Its goal is to provide an actionable ethical and security framework for all stakeholders in the AI industry chain, helping them address the increasingly prominent security challenges in AI applications.

The Guidance's Three Dimensions: A Full Life-Cycle Security Loop

The "Guidance" clearly segments the AI life cycle into three critical stages: application development, service provision, and application use. It proposes distinct security requirements for each phase:

Development Stage: Source Governance. It explicitly requires developers to integrate ethical review mechanisms into data cleaning for model training, implement security-aware design in model architecture, and securely configure computational environments.

Service Stage: Process Control. Addressing the prevalent issue of "AI hallucination" in large models, it mandates that service providers establish effective risk monitoring and control measures to ensure the authenticity and reliability of output content.

Usage Stage: User Boundaries. It defines the legal and compliant boundaries for end-user applications, safeguarding user privacy and preventing the misuse of AI technology.

Why Is This "Guidance" So Significant?

Industry experts indicate that the implementation of this document carries profound value for the sector:

Clarifying Accountability: Previously, accountability was often ambiguous when AI content became uncontrollable or ethical disputes arose. The guidance establishes clear standards for each stage, urging companies to fulfill safety "pre-acceptance" duties before deploying models.

Addressing the "Hallucination" Challenge: To tackle the industry-wide pain point of uncontrolled AI outputs (hallucinations), the guidance is the first at the standards level to propose management requirements. This directly incentivizes companies to develop more robust and fact-checking capable foundational models.

Fostering a Secure Ecosystem: The involvement of companies like Alibaba, Huawei, and DeepSeek reflects an industry consensus that "safety is a prerequisite for AI development." This not only aids in refining China's AI governance framework but also elevates the standing of Chinese AI firms in global technology governance discussions.

Industry Impact: Shifting from "Rapid Growth" to "Compliant Maturity"

With the release of this guidance, the AI industry is reaching a new inflection point:

Compliance as a "Gateway": For companies focused on AI applications, ethical and security audits will become a mandatory checkpoint in the project launch process.

New Directions for Tech Advancement: Foundational models that can effectively mitigate hallucinations and ensure strong ethical security will gain greater market favor over models that prioritize parameter scale alone.

Experts widely agree that this guidance not only addresses current gaps in AI governance in a timely manner but also lays a solid foundation for the sustainable, long-term growth of China's AI industry. For practitioners, it signifies that AI development and application will no longer proceed unchecked but will advance toward a higher-quality "intelligent society" within established legal and ethical frameworks.