Sci-Tech

Building a new pattern of artificial intelligence security governance and creating a new path for the standardized development of generated and synthesized content

2025-03-25   

The rapid development of information technology, such as the Internet, big data and artificial intelligence, has pushed human society towards the intelligent integration of the "human information physics" triple space in the past half century, and has deeply penetrated into various fields of economic society. In recent years, disruptive breakthroughs in generative artificial intelligence technologies such as ChatGPT and DeepSeek are driving human society into a new stage. Looking back at the development of artificial intelligence, there has never been any stage. The tentacles of technological development have further extended from industrial innovation to human value reconstruction, truly becoming the strategic high ground of national digital sovereignty competition and the core variable that affects the rise and fall of a country and the survival of civilization. However, the increasingly realistic synthetic content generated by artificial intelligence has also given rise to new security risks such as false news dissemination, identity information impersonation, and malicious content generation, and weakened the public's trust foundation in online content dissemination. Recently, the Cyberspace Administration of China issued the "Identification Measures for Artificial Intelligence Generated Synthetic Content" (hereinafter referred to as the "Identification Measures"), which is the first in the world to propose a "Chinese solution" to ensure the security and trustworthiness of artificial intelligence. As an important measure to implement the Administrative Provisions on the Deep Synthesis of Internet Information Services and the Interim Measures for the Management of Generated Artificial Intelligence Services in the field of Internet information services, the Identification Measures, together with the mandatory national standard Identification Methods for Artificial Intelligence Generated Synthetic Content in Network Security Technology (hereinafter referred to as the Identification Standards), were issued at the same time, laying an important foundation for the development of artificial intelligence and becoming a key means to ensure the security and order of the network ecology in the era of artificial intelligence. Establishing a model for the governance of synthetic content generated by artificial intelligence. Currently, the information network space has become a bridge connecting human society and the physical world. In the process of accelerating global technological innovation, artificial intelligence has become one of the core areas that determine the competitiveness and future influence of major countries. In this context, countries and regions such as the United States, Canada, and the European Union have introduced policies and regulations related to artificial intelligence, which involve content labeling, but have not yet issued specific regulations to clarify the form and technical indicators of labeling. China has timely introduced the "Identification Measures" and "Identification Standards" to comprehensively and multi-level regulate the requirements and methods of artificial intelligence content identification. This measure not only reflects China's foresight and sense of responsibility in the field of artificial intelligence governance, but also sets a new benchmark for global artificial intelligence security governance and contributes Chinese wisdom to maintaining global digital ecological security and sustainable development. China is currently at a critical stage of transitioning from a cyber power to a cyber power. The formulation and implementation of the "Identification Measures" and "Identification Standards" have historic significance for building an autonomous and controllable artificial intelligence governance system in China. On the one hand, it marks a strategic shift in China's artificial intelligence field from passive defense to active regulation, providing solid institutional support for safeguarding national information security and social stability; On the other hand, through a sound governance system, the social value of artificial intelligence can be maximized, maintaining a clear environment in cyberspace, and ultimately achieving the fundamental goal of technology serving people. The release of the "Identification Measures" and "Identification Standards" for building a standardized ecosystem of artificial intelligence technology marks a crucial step for China to construct a safe and trustworthy ecosystem in the field of generative artificial intelligence. It has had a profound impact on building a standardized and sound technology ecosystem and a healthy and sustainable intelligent technology industry. Its key role is mainly reflected in the following three aspects. Firstly, it has laid a solid foundation for the standardized development of artificial intelligence technology. The "Identification Measures" and "Identification Standards" not only provide clear technical guidance principles for the industry, greatly enhance the transparency and traceability of technology, set red lines for the application of generative artificial intelligence technology, but also provide technical tools for effective traceability and containment of false information dissemination, and maintain network ecological security. Secondly, it points out the correct direction for building a more complete generative artificial intelligence industry chain. The "Identification Measures" and "Identification Standards" have promoted the standardization process of the artificial intelligence industry by refining and generating synthetic content management rules, building a more fair, transparent, and efficient market environment. This not only enhances the enthusiasm of market entities to participate in the industry, helps traditional industries transform and upgrade, but also promotes collaborative innovation in the upstream and downstream of the industrial chain, providing endogenous power for the large-scale development of the industry, and thus promoting the healthy development of the domestic generative artificial intelligence ecosystem. Finally, it provides innovative soil for empowering the development of new quality productivity with "artificial intelligence+". The "Identification Measures" and "Identification Standards" will help establish trust in generative artificial intelligence throughout society, further promote the deep integration of "AI+" with various industries, give birth to a series of new formats and models, create new economic growth points, and also help China seize the high ground of artificial intelligence development globally, promote the formation of new quality productivity driven by technological innovation, and thus occupy an active position in the new round of technological revolution and industrial transformation. (New Society)

Edit:Chen Jie Responsible editor:Li Ling

Source:People's Post and Telegraph

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