加紧推动制定完善人工智能应用规范

Core Viewpoint - The Chinese government is accelerating the development of artificial intelligence (AI) application standards, ethical guidelines, and emergency response systems to ensure AI is safe, reliable, and controllable [1][2] Group 1: AI Industry Development - The State-owned Assets Supervision and Administration Commission (SASAC) is focusing on high-quality development of the AI industry, emphasizing the importance of adapting to rapid advancements in AI technology [1] - Central enterprises have established a presence in 16 key industries and over 800 application scenarios, forming four data industry communities and continuously upgrading foundational models [1] - The SASAC is promoting the integration of AI into traditional industries to facilitate their transformation and to stimulate explosive growth in emerging industries [1][2] Group 2: Strategic Focus Areas - There is a call to enhance the depth of AI applications by targeting high-value scenarios that have significant strategic importance, economic benefits, and social relevance [2] - The focus is on overcoming critical core technologies by investing in foundational research and addressing key areas such as heterogeneous computing scheduling and advanced chip development [2] - The aim is to build a robust domestic computing foundation and develop high-quality datasets to foster AI innovation [2] Group 3: Collaborative Ecosystem - The SASAC emphasizes the need for an open ecosystem for industrial development, leveraging the advantages of central enterprises in terms of scale and comprehensive industry layout [2] - There is a push for collaborative development among industry, academia, and research institutions to explore new models and mechanisms for shared growth [2] Group 4: Safety Governance - A comprehensive safety governance system is being established, balancing development with governance and innovation with safety across various dimensions [2] - The goal is to create a security governance capability that covers the entire lifecycle of large models, reinforcing the safety framework for AI [2]