The State Administration for Market Regulation will accelerate the development of national standards in the field of artificial intelligence

According to Wang Qiuping, spokesperson for the State Administration for Market Regulation, with the rapid development of the artificial intelligence industry and applications, at the end of last year, the State Administration for Market Regulation, together with relevant departments, issued the "Guidelines for the Construction of a Comprehensive Standardization System for the National Artificial Intelligence Industry", which carried out a new round of planning for the standardization of artificial intelligence work. Since the beginning of this year, national standards such as general requirements, evaluation indicators and methods, and service capability maturity assessment for artificial intelligence large models have been released successively, in order to standardize the application of artificial intelligence in "ramming the foundation beam" and "paving the road and building bridges". Recently, we are accelerating the development of national standards for artificial intelligence, further implementing the overall layout of the Guidelines, and continuously improving national standards in the field of artificial intelligence. In terms of the application of artificial intelligence industry, promote the development of standards such as industrial large-scale models and steel industry large-scale models, and serve the development of intelligent manufacturing and the intelligent digital transformation of traditional manufacturing industry. Develop application standards based on the needs of key industries such as healthcare, home furnishings, and transportation, to promote the deep integration of artificial intelligence with the development of various industries. In terms of security governance, research and development of data security standards will be carried out around the aspects of data annotation and optimization training for generative artificial intelligence, to ensure the security of data throughout the entire process of generative artificial intelligence. Strengthen the development of standards for the classification and grading of artificial intelligence application security, capability maturity assessment, ethical governance, etc., to ensure the safety and reliability of the use of artificial intelligence technology.