国家队下场，万字长文读懂国务院“人工智能+”行动计划

Core Viewpoint - The document outlines a strategic framework for the implementation of "Artificial Intelligence+" in China, emphasizing its role as a core element of new productive forces and aiming to drive efficiency and innovation across various industries [6][7][8]. Group 1: Development Framework - The "6×8" development framework is introduced, focusing on both application-driven and foundational support for AI technology, indicating a comprehensive approach to industry transformation [6][8]. - The framework includes six key action areas and eight supporting elements, creating a closed-loop ecosystem for AI development [8][9]. Group 2: Six Key Actions - Science Action: Promotes deep integration of AI with fundamental sciences to accelerate original innovations, highlighting successful cases like DeepMind's AlphaFold2 and domestic advancements in AI-driven research tools [12][11]. - Industry Action: Aims to enhance traditional industries through smart upgrades and foster "smart-native" enterprises, showcasing examples from high-end manufacturing and smart agriculture [15][14]. - Consumer Action: Focuses on expanding intelligent consumption scenarios, with innovations in smart retail and digital marketing enhancing user experiences [17][16]. - Public Welfare Action: Utilizes AI to improve public services in education, healthcare, and elder care, emphasizing the importance of data security and compliance [21][20]. - Governance Action: Encourages AI to empower government decision-making and public safety, with examples of AI applications in urban management and environmental monitoring [22][21]. - Global Action: Promotes international cooperation in AI governance and capacity building, particularly in developing countries, with initiatives like the establishment of a global AI cooperation organization [25][24]. Group 3: Eight Supporting Elements - Model Support: Highlights the emergence of various large model startups in China, emphasizing the need for collaboration with research institutions for specialized model development [28][29]. - Data Support: Stresses the importance of high-quality data annotation services for AI model training, with examples of leading companies in this space [30][31]. - Computing Power Support: Discusses advancements in domestic AI computing hardware and the competitive landscape with international players [33][32]. - Application Support: Encourages the development of AI applications and services, advocating for collaboration with academic institutions for real-world testing [36][35]. - Open Source Support: Emphasizes the significance of open-source tools in AI development, encouraging companies to contribute to and leverage open-source communities [38][37]. - Talent Support: Focuses on the need for a robust talent pipeline through partnerships between educational institutions and companies, promoting AI education initiatives [40][39]. - Policy Support: Highlights the role of government policies in shaping the AI landscape, providing various incentives for startups and established companies [41][40]. - Safety Support: Underlines the importance of integrating safety and compliance into AI product design, with a focus on regulatory adherence [42][41].