On March 4th, as the National People's Congress approaches, Lei Jun, CEO of Xiaomi Group and a delegate to the 2024 National People's Congress, announced that he will submit four proposals to the conference.
These proposals include: "Proposal on Accelerating the Construction of Green and Low-carbon Supply Chains in the Manufacturing Industry," "Proposal on Strengthening the Cultivation of AI Talents to Meet the Needs of Technological Change," "Proposal on Further Standardizing the Safe Application of Intelligent Driving Products," and "Proposal on Increasing Support for Intelligent Manufacturing to Accelerate the Development of Advanced Technology Integration."
Lei Jun emphasized that from a long-term perspective, there is a rapidly growing demand in various industries for personnel with basic artificial intelligence skills. However, considering China's current level of generative AI technology, especially in terms of top-tier AI talent reserves, there is still a significant shortage, particularly in the area of AI-composite talents.
He proposed three suggestions regarding this matter: firstly, to popularize AI literacy education at the compulsory education stage; secondly, to vigorously promote the development of AI-related majors in universities; and thirdly, to support large tech companies and educational institutions in cultivating AI application-oriented talents.
Regarding intelligent driving, Lei Jun pointed out that in order to better provide safe and comfortable product experiences to intelligent car users and further enhance the competitive advantage of Chinese automobile brands in the field of intelligent driving, it is necessary to accelerate the implementation of relevant regulations, standards, and product supervision and management measures to regulate the safe application of intelligent driving products.
Lei Jun put forward three suggestions: to standardize the application of assisted driving functions to create a safe driving experience; to regulate the application of autonomous valet parking functions to ensure the safety of unmanned scenarios; and to standardize the use of vehicle-side data to improve the safety level of intelligent driving products.
