Building a Safe Barrier for Artificial Intelligence

The recent meeting of the Central Political Bureau highlighted the need to “improve artificial intelligence governance” while promoting the development of a new form of intelligent economy. This reflects a balanced approach between development and regulation, further driving the healthy and orderly development of artificial intelligence (AI).

As a strategic technology leading a new round of technological revolution and industrial transformation, AI is profoundly changing human production and lifestyle, becoming a significant force in reshaping the global competitive landscape and promoting economic and social transformation. Currently, China is fully implementing the “AI+” initiative, with breakthroughs in technologies such as large models, intelligent agents, and embodied intelligence, leading to rapid deployment of numerous high-efficiency application scenarios. However, the development of technology also brings risks such as algorithmic bias, data misuse, and deep forgery. In the face of the rapid evolution of AI technology, its deepening applications, and complex intertwined risks, how to strengthen governance and promote the beneficial, safe, and equitable development of AI is a crucial issue for society.

Risk prevention and regulation are core tasks of governance. AI technology has a “black box” nature, with opaque decision-making logic and difficult traceability of output content, posing unknown safety hazards. Therefore, it is necessary to explore new regulatory concepts and methods to provide a dynamic and inclusive governance environment for technological iteration, allowing sufficient room for trial and error while maintaining safety.

Currently, many regions in China are actively exploring new regulatory methods such as sandbox regulation, allowing relevant entities to pilot new products, services, models, and technologies within limited scenarios and scales. At the same time, inclusive and prudent regulatory measures are taken to correct errors within a controllable range and prevent risk spillover, achieving positive results. In the future, relevant institutional arrangements can be accelerated to clarify the admission, operation, and exit rules for sandbox regulation. For example, adhering to a classification and grading principle, more cautious and strict regulatory standards and operational processes should be implemented in high-risk areas involving data security and financial safety, while conditions can be moderately relaxed in areas with mature technology and lower potential spillover risks. Additionally, continuous optimization of regulatory technology tools is essential to enhance regulatory capabilities in line with AI technology, achieving dynamic regulation throughout the entire lifecycle.

Improving the legal system is the fundamental guarantee for governance. In recent years, China has been advancing institutional construction in key areas such as generative AI, algorithm recommendations, and deep synthesis, issuing a series of regulatory rules, including the “Interim Measures for the Management of Generative AI Services,” the “Regulations on Algorithm Recommendations for Internet Information Services,” and the “Measures for Identifying AI-Generated Synthetic Content.” However, the current and near-future phases of AI technology will be characterized by explosive growth, and some regulations may not keep pace with technological innovation. It is crucial to deeply understand the trends and laws of AI development, expedite the improvement of relevant laws, regulations, policies, application norms, and ethical guidelines, and timely delineate the ethical boundaries and safety bottom lines of technology applications, ensuring that legal construction follows the development of technology.

Strengthening international cooperation is an inevitable choice for governance. AI is a universal technology that transcends national borders, and its risks are global in nature, making normative governance not solely a matter for one country or region. However, due to the high sensitivity of technological competition, there are still differences among countries regarding cross-border data, content review, and government regulatory authority. It is necessary to promote coordination and alignment of development strategies, governance rules, and technical standards among all parties to form a globally recognized AI governance framework and standards as soon as possible.

As a responsible major country, China has actively participated in and led global AI governance in recent years, successively releasing important documents such as the “Global AI Governance Initiative” and the “Global AI Governance Action Plan.” In the future, China should continue to promote innovation in AI governance systems and practices, contributing more Chinese solutions to the international community; strengthen international exchanges and cooperation; and promote the establishment of a fairer and more reasonable global governance system.

AI governance is a systematic integration of technical ethics, legal construction, and international cooperation. Only through multi-party governance can a solid safety barrier be built. By adhering to the dual focus on development and safety, and synchronizing innovation with regulation, the exploration and improvement of the AI governance system will provide a more solid institutional guarantee for the development of the new intelligent economy.