七部门推动人工智能在交通领域创新应用

Core Viewpoint - The implementation opinion on "Artificial Intelligence + Transportation" aims to accelerate the large-scale innovative application of AI in the transportation sector, with specific goals set for 2027 and 2030 [1][2]. Group 1: Overall Goals - By 2027, AI will be widely applied in typical scenarios within the transportation industry, with a comprehensive transportation model system deployed and a number of intelligent applications established [1]. - By 2030, AI will be deeply integrated into the transportation sector, with a fully advanced intelligent transportation network and key core technologies being self-controlled, achieving a leading position globally [1]. Group 2: Key Tasks - Enhancing Key Technology Supply: Focus on application technology breakthroughs, accelerating smart product innovation, and building a comprehensive transportation model to improve the overall intelligence level of the transportation system [1][2]. - Accelerating Innovative Scene Empowerment: Leverage the rich application scenarios in the industry to deploy seven key tasks across various fields, creating replicable and promotable application cases to enhance the breadth of AI applications [2]. - Strengthening Core Element Assurance: Optimize computing power supply, accelerate the construction of high-quality data sets, and promote ubiquitous network infrastructure to support AI applications with a reliable data transmission network [2]. - Optimizing Industrial Development Ecosystem: Enhance the incubation capacity of the industrial ecosystem, improve AI governance mechanisms, and accelerate talent aggregation to foster an innovative environment for AI technology [2]. Group 3: Supporting Measures - Establish a coordinated development mechanism for AI in transportation, enhance the openness of application scenarios, strengthen network and data security compliance management, and improve ethical review rules and mechanisms [2].