National Development and Reform Commission: Improve the "AI+" policy system and refine the implementation plans for key industries
At its "15th Five-Year Plan" series of press conferences, the National Development and Reform Commission proposed deepening and expanding the "AI+" initiative through a coordinated point, line, and area approach. At the point level, priority will be given to organizing application breakthroughs in "risky, dirty, tiring, tedious, and difficult" scenarios such as mining, work at heights, and emergency disaster relief; at the line level, it will continue to promote the construction of national pilot testing bases for AI applications in manufacturing, energy, transportation, healthcare, and other fields. At the area level, it will improve the "AI+" policy system, refine the implementation plans for key industries, and formulate classification guidelines for application scenarios.
Body · AI translation
The National Development and Reform Commission (NDRC) held a press conference in its "Striving for the 15th Five-Year Plan" series to brief on efforts to cultivate and strengthen new growth drivers. Wang Ruomeng, deputy director of the NDRC's Department of Innovation and High-Tech Development, said that during the 15th Five-Year Plan period, China will continue to leverage its advantages of a complete industrial system, rich application scenarios and strong engineering capabilities, focus on using real-world applications to drive technological innovation, make coordinated efforts at the point, line and surface levels, and deepen and expand the "AI+" initiative. At the point level, with scenarios as the unit, it will organize "AI+" application research, giving priority to "risky, dirty, tiring, tedious and difficult" scenarios such as mining, work at heights and emergency disaster relief, using AI to solve industry pain points and set up more application models and benchmarks. At the line level, with industries as the entry point, it will continue to promote the construction of national AI application pilot and testing bases in manufacturing, energy, transportation, healthcare and other fields, coordinate the supply of factors such as computing power, models and data to address common problems in industry applications, accelerate the formulation of standards and the promotion of applications, and lower the threshold for AI implementation in industries. At the surface level, with institutions as the focus, it will improve the "AI+" policy system, refine the implementation of key industry implementation plans, formulate guidelines for classifying application scenarios, and provide stronger institutional support for deepening and expanding "AI+".