On March 4, before the opening of the second session of the 14th National People's Congress, Lei Jun, a representative of the National People's Congress and founder, chairman and CEO of Xiaomi Group, submitted four proposals to the conference around the two directions of "low carbon" and "intelligence", namely:"Suggestions on Accelerating the Construction of a Green and Low-Carbon ** Chain in the Manufacturing Industry", "Suggestions on Strengthening the Training of Artificial Intelligence Talents to Meet the Needs of Scientific and Technological Change", "Suggestions on Further Regulating the Safe Application of Intelligent Driving Products", "Suggestions on Increasing Support for Intelligent Manufacturing and Accelerating the Development of Advanced Technologies". It is understood that these four proposals involve green and low-carbon, artificial intelligence, intelligent driving, intelligent manufacturing and other fields. 
Deputy to the National People's Congress, founder, chairman and CEO of Xiaomi Group, Lei JunAccelerate the construction of a green and low-carbon manufacturing chain to help carbon peak and carbon neutralityGreen development is the background color of high-quality development, and new quality productivity itself is green productivity, so we must accelerate the green transformation of development mode to help carbon peak and carbon neutrality. In recent years, with the introduction of relevant policy documents of relevant state departments, new progress has been made in the construction of China's green manufacturing system, and outstanding results have been achieved in green and low-carbon work. Lei Jun said that as the world accelerates towards the era of carbon neutrality, the international "green barriers" are gradually emerging, and China's manufacturing industry has begun to face problems such as the dilemma of the full link of the first chain, the lack of carbon database in the domestic industry, and the pressure of low-carbon transformation of the first chain. How to break down green barriers, promote the green and low-carbon transformation of the first chain, and enhance the "green" competitiveness of China's commodities in the international market will be the focus of the breakthrough. To this end, Lei Jun proposed,Corresponding supporting policies should be formulated first, encouraging and supporting enterprises to optimize and upgrade the first-chain system, promote the integrated application of a new generation of information technology such as 5G, big data, and artificial intelligence, realize the integration of business information in the whole process of the first-chain chain, and establish a green evaluation and demonstration and promotion mechanism to encourage enterprises to green and low-carbon transformation. Secondly, as fast as possibleEstablish a background database of carbon footprints in the manufacturing industry, improve the sharing and co-construction mechanism of enterprises, and promote the connection and mutual recognition with international databasesAnd gradually establish a global carbon footprint management system in which China is deeply involved and led. At the same time, we will strengthen the integration of green and low-carbon indicators and carbon reduction measures in the whole process, such as:Explore the establishment of a national trading mechanism for green electricitySmooth trading channels and promote the main enterprises of the chain to lead the green transformation of the chain. Strengthen the cultivation of artificial intelligence talents, and include artificial intelligence general education courses in nine-year compulsory educationAt present, artificial intelligence is changing the economic and social development model with unprecedented speed, breadth and depth, setting off a new wave of technological and industrial transformation. From the perspective of long-term trends, the demand for manpower to master the basic skills of artificial intelligence in all walks of life is growing sharply, and strengthening the cultivation of talents in the field of artificial intelligence will become a key factor in the continuous upgrading of China's industry. To this end, Lei Jun suggestedIntegrate artificial intelligence into the education and training systemOn the one hand, it is necessary to popularize artificial intelligence literacy education from the compulsory education stageThe nine-year compulsory education stage sets up a general course of artificial intelligenceAt the same time, the relevant content will be incorporated into the social practice activities of primary and secondary schools; On the other handVigorously promote the construction of artificial intelligence-related majors in colleges and universitiesIncrease investment in the construction of artificial intelligence disciplines in colleges and universities, strengthen cooperation and exchanges with world-class scientific research institutions, expand teaching strength, expand more majors, provide internship and practice opportunities, and cultivate comprehensive talents integrating theory and practice. In addition, Lei Jun also proposed to encourage large science and technology enterprises and social education and training institutions to carry out artificial intelligence application talent training, so as to adapt to the rapid iteration of technology in the field of artificial intelligence, large demand for talents, and wide application. Combined with the supply and demand of artificial intelligence talents, we will flexibly cultivate diversified artificial intelligence talents to meet the current demand for artificial intelligence applications in various fields. Further standardize the safety application of intelligent driving products and enhance the competitiveness of China's intelligent drivingIn recent years, China's intelligent driving (including autonomous driving and assisted driving) industry has developed rapidly, and advanced artificial intelligence technology has been widely used in scenarios such as environmental perception, decision-making and planning, and control execution of intelligent driving. The relevant state departments have also successively issued policy documents, and focused on promoting the formulation and revision of relevant regulations and standards for intelligent driving, and researching and formulating supporting measures for the supervision and management of intelligent driving products. However, there are still great differences in the current intelligent driving products in the industry in terms of function definition, safety performance, human-computer interaction, operating conditions, data application, etc., and there are potential safety risks in driving safety and data. To this end, Lei Jun suggestedEstablish a safety supervision and management mechanism for assisted driving products as soon as possible, accelerate the application of safety technical requirements and test and verification standards for assisted driving, refine the requirements for human-computer interaction such as drivers' environmental risk warnings, standardize the correct use of assisted driving functions, and create a safer assisted driving experience. At the same time, the improvement of the safety level of intelligent driving depends on the feedback of real data from the vehicle end and the road, Lei Jun suggested that the relevant departments further refine the compliance measures and product standards of intelligent driving data collection, storage, use and other links, and establish a unified intelligent driving safety monitoring data platform, and continuously improve the supervision system through big data empowerment. For many valet parking solutions, there are inconsistent parking lot supporting standards in the landing process.
1. For problems such as non-standard product function definition and unclear safety performance standards, Lei Jun suggested that it is necessary to further promote the implementation of relevant regulations and standards related to the definition of autonomous valet parking function and technical requirements, ensure the safety of unmanned scene experience, and promote the large-scale application of safe and reliable autonomous valet parking function. Increase support for intelligent manufacturing and explore the "Chinese paradigm" of intelligent manufacturingSince the 18th National Congress of the Communist Party of China, the pace of digital transformation of China's manufacturing industry has been accelerating, the level of intelligent manufacturing and the scale of the industry have been significantly improved, and intelligent manufacturing has become an important engine for the optimization and upgrading of traditional industries and the cultivation and growth of emerging industries. In order to further maintain China's competitive advantage in the global manufacturing industry, promote the industry to move towards the middle and high end of the global value chain, and accelerate the formation of new quality productivity, Lei Jun proposed to accelerate the deployment of industrial models, promote the integration and innovation of advanced intelligent technology and manufacturing industry, and continue to promote the research and development and industrialization of key products such as industrial robots, intelligent testing equipment, and intelligent control equipment, so as to form an independent, controllable, advanced and applicable intelligent manufacturing system solution. At the same time, Lei Jun saidLeading enterprises should be encouraged to take the lead in creating practices and demonstration samples of intelligent manufacturing, and promote the development of standards; Encourage the deep integration of industry, academia, research and application, guide scientific research institutions and universities to cooperate with enterprises, and jointly invest in the formulation of intelligent manufacturing standards and specifications; Support domestic enterprises and experts to actively participate in international standardization work, give full play to the advantages of manufacturing scale and innovation, promote the integration of national standards and specifications with the influence of the industrial chain, build an ecosystem of independent innovation and controllable industrial innovation, empowerment and service, and explore the "Chinese paradigm" of intelligent manufacturing. In addition, Lei Jun said that leading enterprises in the field of intelligent manufacturing shoulder the important task of high-quality development, and suggested that relevant departments accelerate the implementation of major projects for intelligent manufacturing, and promote the research and development and industrialization of key intelligent technology and equipment; At the same time, it supports leading enterprises to participate in the implementation of major projects related to intelligent manufacturing, and gives full play to its technical advantages and leading role; And from the national level to set up intelligent manufacturing development, to provide financial support for enterprises to build intelligent manufacturing systems and management practice of major projects, to guide large and medium-sized enterprises to actively participate in intelligent innovation and transformation. ——CCTV Editor: Miao Yaxiang Review: Hua Lijuan.