Building a Safe Barrier for Artificial Intelligence

Recently, the Central Political Bureau meeting emphasized the need to “improve artificial intelligence governance” while deploying the development of new forms of intelligent economy. This reflects a dual approach of promoting development and regulation, which will further facilitate the healthy and orderly growth of artificial intelligence.

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

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 outputs, posing unknown safety hazards. Therefore, it is necessary to explore new regulatory concepts and methods to provide a testable and dynamically inclusive governance environment for technological iteration, allowing enough room for innovation 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, while adopting inclusive and prudent regulatory measures 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 prudent and strict regulatory standards and operational processes should be implemented in high-risk areas involving data security and financial safety; conversely, conditions can be moderately relaxed in fields with mature technologies and lower potential spillover risks. At the same time, regulatory technology tools should be continuously optimized 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 continuously advanced institutional construction in key areas such as generative AI, algorithmic recommendations, and deep synthesis, issuing a series of regulatory rules including the “Interim Measures for the Management of Generative AI Services,” the “Regulations on Algorithmic Recommendations for Internet Information Services,” and the “Identification Measures for AI-Generated Synthetic Content,” accumulating considerable governance experience. However, in the current and forthcoming period, AI technology is expected to experience explosive growth, and some regulations may lag behind technological innovation. It is essential to deeply understand the trends and laws of AI development, expedite the improvement of relevant laws, regulations, policy systems, application norms, and ethical guidelines, and timely delineate the ethical boundaries and safety bottom lines of technological applications, ensuring that legal construction keeps pace with technological development.

Strengthening international cooperation is an inevitable choice for governance. AI is a universal technology that transcends national boundaries, and its risks are also global in nature; thus, normative governance is not solely a matter for one country or region. However, due to the high sensitivity of technological competition, different countries still have divergences on issues such as 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, aiming to form a globally recognized framework and standard for AI governance 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, it will 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 technology ethics, legal construction, and international cooperation. A multi-faceted co-governance approach is essential to build a robust safety barrier. By balancing development and safety, innovation and regulation, and exploring the improvement of the AI governance system, the new form of intelligent economy will have a more solid institutional guarantee.