The General Administration of Market Supervision will accelerate the development of national standards in the field of artificial intelligence

March 28 - This morning.General Administration of Market Supervision (GAMS)Convene a regular press conference for the first quarter of 2025.

The General Administration of Market Supervision will accelerate the development of national standards in the field of artificial intelligence

1AI learned from the official website of the General Administration of Market Supervision (GAMS) that Wang Qiubing, spokesman for the GAMS and director of the Department of Public Information and Publicity, introduced at the meeting that, along with theAIThe rapid development of industry and applications, at the end of last year, the General Administration of Market Supervision, in conjunction with relevant departments, issued the "Guidelines for the Construction of a Comprehensive Standardization System for the National Artificial Intelligence Industry", a new round of planning for the standardization of artificial intelligence. Since this year, we have focused on the needs of industrial development, increased the supply of standards, and successively issued national standards such as general requirements for big models of artificial intelligence, evaluation indexes and methods, and maturity assessment of service capabilities, so as to standardize the application of artificial intelligence, "tamping the foundation and framing the beams," "paving the way and building bridges. ". Recently, the General Administration is accelerating the development of national standards for artificial intelligence, further implementing the overall layout of the Guide, and continuing to improve national standards in the field of artificial intelligence.

In terms of arithmetic platformsIt will accelerate the development of standards for deep learning compilers, high-quality datasets, computation scheduling and collaboration, optimize AI data services, promote the efficient use and integration of AI computing resources, and help cultivate an industrial ecosystem. In terms of large models, we will accelerate the development of general large model standards such as machine vision large models and multimodal large models, as well as the development of large model application and optimization technology standards such as inference engines and retrieval enhancement, so as to guide the industry in the research and development, selection and application of large models.

In embodied intelligence and intelligencesIt will accelerate the deployment of standards for intelligent voice interaction, computer vision, knowledge mapping, etc., and lead the development of cutting-edge AI technologies. Develop standards for intelligent mobile terminals and intelligent office software to guide the upgrading of AI-related products and services. In terms of AI industry applications, we will promote the development of standards such as industrial big models and steel industry big models to serve the development of intelligent manufacturing and the intelligent digital transformation of traditional manufacturing industries. The development of application standards is centered on medical, home and other life scenarios, as well as the needs of key industries such as transportation, to promote the deep integration of AI and the development of various industries. In terms of safety governance, around the generative AI data labeling and optimization training and other links, to carry out the development of data safety standards, to ensure the whole process of generative AI data security. It will also strengthen the development of standards for AI application safety classification and grading, capability maturity assessment, and ethical governance, so as to ensure the safety and reliability of AI technology.

As a next step, the General Administration of Market Supervision will strengthen the coordination of cross-industry and cross-field artificial intelligence standards through the National Artificial Intelligence Standardization Overall Group, launch a green channel, improve the efficiency of standard supply, quickly respond to the needs of industrial development, and promote the early introduction of standards and their application on the ground.

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