Recently, the National Cybersecurity Standardization Technical Committee officially released the "Guidance on Ethical and Security Practices for Artificial Intelligence Applications 1.0." This significant document was jointly drafted by leading companies and research institutions such as Alibaba, Huawei, and DeepSeek, marking a new stage in China's artificial intelligence ethical security governance system, transitioning from "top-level initiatives" to "technical standard implementation."

Core Position of the Document:

This guidance is a principle-based and reference technical document aimed at providing an actionable ethical and security framework for all entities along the AI industry chain to address increasingly prominent security challenges in AI applications.

The Three Dimensions of the Guidance: Full Life Cycle Security Loop

The "Guidance" clearly divides the life cycle of artificial intelligence into three key stages: application development, service provision, and application use, and proposes differentiated security requirements for each stage:

  • Development Level: Source Governance. It clearly requires developers to integrate ethical review mechanisms into data cleaning during model training, security design of model architecture, and configuration of computing power environments.

  • Service Level: Process Control. Focused on the prevalent issue of "AI hallucination" in large models today, it requires service providers to have effective risk monitoring and control measures to ensure the authenticity and consistency of output content.

  • Usage Level: User Boundaries. It defines boundaries for the legal and compliant use of terminal applications, protecting user privacy and preventing the misuse of technology.

Why Is This "Guidance" So Critical?

According to industry insiders, the implementation of this document has far-reaching industrial value:

  1. Clear Responsibility Entities: In the past, when AI content became uncontrollable or ethical disputes arose, responsibility was often ambiguous. The guidance clarifies standards at each stage, urging companies to fulfill safety "pre-acceptance" responsibilities before launching models.

  2. Resolving the "Hallucination" Black Hole: Addressing the industry pain point of uncontrolled AI outputs (hallucinations), the guidance first proposes management requirements at the standard level, directly driving companies to develop more robust and fact-check capable foundational models.

  3. Building a Safe Ecosystem: The participation of companies like Alibaba, Huawei, and DeepSeek reflects the industry consensus that "safety is a prerequisite for AI development." This not only helps improve China's AI governance system but also enhances the professionalism of Chinese AI companies in global technological governance discourse.

Industry Impact: Transitioning from "Rapid Growth" to "Compliant Deepening"

With the release of the "Guidance on Ethical and Security Practices for Artificial Intelligence Applications 1.0," the AI industry is entering a new turning point:

  • Compliance as an "Entry Ticket": For companies dedicated to AI applications, ethical and security audits will become a mandatory standard in project launch processes.

  • New Directions for Technological Iteration: Foundation models that can effectively suppress hallucinations and offer strong ethical security assurance will be more favored by the market than models solely focused on parameter scale.

Industry experts generally believe that this guidance not only timely addresses current shortcomings in AI governance but also lays a solid foundation for the long-term sustainable development of China's AI industry. For professionals, this means that AI development and application will no longer be like a runaway horse but will move toward a higher-quality "intelligent society" within the framework of laws and ethics.