Introduction

Artificial intelligence (AI) is a strategic force leading a new round of technological revolution and industrial transformation, profoundly reshaping the global innovation landscape, development paradigms, and human lifestyles. However, its widespread application also brings a series of risks and challenges. General Secretary Xi Jinping emphasizes the need to grasp the trends and laws of AI development, expedite the formulation of relevant laws, policies, application norms, and ethical guidelines, and establish a technical monitoring, risk warning, and emergency response system. This approach aims to enhance the safety, reliability, controllability, and fairness of AI technologies.

Importance of Strengthening AI Governance

In the face of accelerated AI technology iterations, deep penetration of applications, and complex intertwined risks, accurately grasping the trends and laws of AI development is crucial for promoting the healthy and orderly development of AI in China.

Strategic Advantage in Technological Revolution

General Secretary Xi points out that AI is a significant driving force in the new technological revolution and industrial transformation. Currently, AI technology innovation is in a period of intense activity, and the industrialization process is accelerating, creating favorable conditions for gaining a competitive edge in future development. Major countries are actively advancing AI development, giving rise to new fields such as intelligent agents, autonomous driving, embodied intelligence, and smart wearables. Strengthening AI governance can create a stable, transparent, and predictable governance environment, providing clear rules for enterprises and research institutions, encouraging investment, and fostering innovation.

Promoting High-Quality Economic Development

AI is a crucial driving force for upgrading industries and cultivating new economic growth points. By the end of 2025, China is expected to have over 6,000 AI companies, forming a complete industrial system from foundational infrastructure to industry applications. Domestic large models are leading the global ecosystem through open-source strategies, transforming AI from a cutting-edge technology used by a few companies into a widely accessible tool across various industries. Exploring effective AI governance paths can better mitigate risks, create a stable policy environment, and foster a fair, healthy, and vibrant industrial ecosystem.

Maintaining National Security and Social Stability

General Secretary Xi emphasizes the importance of improving the AI regulatory system to maintain control over AI development and governance. The safety risks associated with AI are increasingly prominent, characterized by complexity, systemic nature, and pervasiveness. Strengthening AI governance is essential for ensuring that AI is used to uphold national interests and the welfare of the people.

Building a Community with a Shared Future

AI should be an international public good that benefits all humanity. It is essential to promote coordination among development strategies, governance rules, and technical standards globally, forming a widely accepted global governance framework.

Basic Principles for Strengthening AI Governance

Effective governance must be guided by scientific concepts and clear principles. The following basic principles should be adhered to:

Establishing a Value Orientation Toward Beneficence

AI governance should ensure that the ultimate goal of technological development is to enhance human well-being and promote comprehensive human development.

Implementing Systematic Thinking

AI development and safety are highly interrelated. It is crucial to balance development and safety while maintaining proactive governance.

Strengthening the Legal Foundation for Good Governance

Legal governance of AI is essential for ensuring the healthy development of new business models and addressing emerging issues.

Innovating Agile and Dynamic Governance Models

AI governance should be inclusive and promote the sharing of core resources while establishing necessary error-correction mechanisms.

Accelerating AI Governance Implementation

The scientific nature of theory must ultimately manifest in practical guidance. Implementing General Secretary Xi’s important discourse on AI governance requires a comprehensive governance system covering all aspects of AI development, deployment, application, and impact.

Strengthening Data Governance

Data is a core element of AI development. Improving data governance is essential for building a secure and trustworthy channel from raw data to intelligent value.

Enhancing Model Governance Efficiency

AI large models are central to intelligent systems. Effective model governance is crucial for ensuring the quality and safety of AI applications.

Optimizing Application Governance Ecosystem

As AI applications expand, it is essential to establish a refined governance approach that avoids a one-size-fits-all model and ensures human oversight in critical decision-making.

Refining Ethical Governance Requirements

AI ethical governance involves not only technical rule-making but also the construction of value orders, drawing from rich cultural traditions.

Strengthening Global Governance Collaboration

AI governance is a common challenge for humanity. It is necessary to actively implement global AI governance initiatives to build an open, fair, and effective governance mechanism.