Introduction

Recently, the Political Bureau of the Central Committee of the Communist Party of China held a meeting to comprehensively implement the “AI+” initiative, aiming to develop a new form of intelligent economy and improve AI governance. This strategic deployment is based on the new situation of building a modern industrial system in China, setting a clear direction and goals for the development of “AI+”, demonstrating profound strategic vision and significant practical value.

The Role of AI+

“AI+” empowers various industries through comprehensive integration of artificial intelligence, fostering and developing new productive forces. By promoting deep integration of AI with industrial technology and professional knowledge, it optimizes production processes, spawns new business models, and achieves transformations in efficiency, quality, and dynamism, continuously enhancing total factor productivity. However, the centralization of core resources such as computing power, algorithms, and data may exacerbate resource allocation imbalances among enterprises of different scales, groups, and regions. Additionally, AI technologies carry inherent safety and ethical risks.

Development Principles

Therefore, the comprehensive implementation of the “AI+” initiative must balance its positive and negative effects, adhering to the development philosophy of inclusiveness and sharing. It is essential to cultivate new productive forces through technological innovation while ensuring that the benefits of development reach all people, promoting a healthy and orderly development of the intelligent economy, and constructing an intelligent new era accessible to everyone.

Infrastructure and Application Scenarios

Strengthening infrastructure and application scenarios is fundamental to the implementation of the “AI+” initiative. High-level independent innovation is a prerequisite, focusing on the foundational theories of AI and key core technologies, enhancing stable investment, and accelerating breakthroughs in underlying technologies such as large model architectures and high-end chips to avoid dependence in core areas and maintain development autonomy. Furthermore, it is crucial to strengthen the three major supports: building public computing power platforms, optimizing computing power layouts, and ensuring the high-quality supply of computing power; advancing core algorithm research, establishing open-source platforms, and promoting the standardization and lightweight development of algorithms; and improving data property rights and circulation mechanisms to promote compliant data openness and unleash the multiplier effect of data elements.

Deep Integration of AI+

Promoting the deep integration of “AI+” applications is key to achieving inclusive and shared development. In key industrial chains, AI should empower all aspects of enterprise research, production, management, and services. In the livelihood sector, focusing on agriculture, healthcare, education, and elderly care, the vertical application of “AI+” should be promoted to enhance the equity and accessibility of public services. For example, the construction of an AI innovation district in Haidian District, Beijing, aims to create an “AI Origin Community” and a demonstration park ecosystem, laying out the entire industrial chain and promoting the application of AI in technological research and development, providing valuable insights for the inclusive and shared development of “AI+”.

Governance and Ethics

Strengthening prudent governance is essential for the inclusive and shared development of “AI+”. It is necessary to accelerate the modernization of the AI governance system and governance capabilities, creating a secure and controllable development environment. On one hand, an AI safety technology system should be established, developing safety technologies such as algorithm robustness and deep forgery detection, and building risk assessment and early warning platforms to prevent risks such as data leakage and algorithm loss of control. On the other hand, innovative agile governance methods should be explored, implementing a classification and grading regulatory framework for high-risk areas to achieve full-chain supervision of industries such as autonomous driving and medical diagnosis.

Ethical governance is also indispensable. Ethical requirements must be embedded throughout the entire lifecycle of AI research and application, establishing mechanisms for algorithm auditing, assessment, and accountability to eliminate algorithmic bias and discrimination. Strict measures should be taken against illegal activities using AI for fraud and privacy invasion. Additionally, ethical education should be strengthened to ensure that the concept of “people-centered, intelligent for good” becomes ingrained in society, forming a consensus that ensures the development of “AI+” aligns with the core values of socialism.

Conclusion

Promoting the inclusive and shared development of “AI+” fundamentally involves managing the relationship between people, technology, and social systems. This requires us to move beyond the narrow pursuit of technological progress towards a people-centered approach to overall development effectiveness. By building inclusive infrastructure, compassionate application scenarios, and robust governance rules, “AI+” can truly become a core force in enhancing human welfare and shaping a new form of human civilization, injecting strong and lasting intelligent momentum into high-quality development.