At today's press conference, the State Administration for Market Regulation (SAMR) announced that it will accelerate the development of national standards in the field of artificial intelligence (AI). This move aims to guide industry development, optimize technology application, improve the industry ecosystem, and promote the efficient and reliable application of AI technology.
First, the SAMR will focus on the standardization of computing platforms. It plans to accelerate the development of key technical standards for deep learning compilers, high-quality datasets, and computing scheduling and coordination. By optimizing AI data services and integrating computing resources, the efficiency of resource utilization in the field of artificial intelligence will be improved.
Image Source: AI-generated image, licensed by Midjourney
In the field of large model technology, the development of standards for machine vision, large model inference engines, and multimodal technologies will be accelerated. This will not only guide the industry's technology selection in the research and application of large models but also promote technological advancement in this field.
The SAMR also plans to accelerate the standardization of embodied intelligence and intelligent agent-related technologies, covering cutting-edge technologies such as intelligent voice interaction, computer vision, and knowledge graphs. These standards will provide guidance for the upgrading of smart hardware and smart services, promoting continuous innovation in the application of AI technology.
In promoting AI industry applications, the SAMR will focus on industrial manufacturing, steel, medical, home, and transportation sectors, formulating relevant application standards to promote the deep integration of artificial intelligence with various industries and drive the intelligent and digital transformation of traditional industries.
Furthermore, data security and the security of technology applications will be important components of standard development. The SAMR stated that it will conduct research on data security standards surrounding the data annotation and optimized training of generative AI, ensuring the full lifecycle data security of AI technology. Simultaneously, it will strengthen standard development in areas such as ethical governance and capability maturity assessment to ensure the safety and reliability of AI technology in practical applications.
Through these measures, the SAMR hopes to provide a solid institutional guarantee for the healthy development of the AI industry and promote the innovative application of AI technology and the comprehensive upgrading of the industry.
