国家互联网应急中心副主任 刘博：框架2.0在1.0的基础上进行横向拓展和纵向加深，结合人工智能技术发展趋势与应用实践，持续跟踪风险演 变，迭代完善分类体系，探索分级路径，优化防范治理措施。 据了解，近年来人工智能技术和应用飞速发展，赋能千行百业。与此同时，人工智能安全风险的表现形式也在同步演进变化。《人工智能安全 治理框架》2.0版对相关风险进行了梳理调整，并更新了防范治理措施。 央视网消息：2025年国家网络安全宣传周正在全国范围内举行。在云南昆明的主会场，昨天（15日）下午进行的网络安全技术高峰论坛上， 《人工智能安全治理框架》2.0版发布，和去年9月发布的1.0版相比，这版框架有哪些变化呢？ 在治理原则上，框架2.0版新增提出"可信应用、防范失控"的原则。推动形成涵盖技术防护、价值对 、协同治理等多层面的可信人工智能基本 准则，确保技术演进安全、可靠、可控，严防威胁人类生存发展的失控 险，确保人工智能始终处于人类控制之下。 同时，框架2.0版还新增了人工智能安全风险的分级原则和可信人工智能基本准则。 国家互联网应急中心副主任 刘博：该部分为框架2.0新增的专题性内容，划分5种风险级别，明确风险定级的基本 ...

Group 1 - The core viewpoint of the news is the rapid development and construction of China's computing power platform, which aims to enhance resource allocation and efficiency across regions and industries [2][3][15] - The platform has already integrated computing power sub-platforms from 10 provinces and cities, including Shanxi, Liaoning, Shanghai, and Jiangsu [1] - The initiative includes a comprehensive monitoring system for computing power facilities and data, allowing for precise tracking of regional development [2][3] Group 2 - The platform has onboarded over 100 computing service providers and registered more than 1,000 industry users, facilitating access to nearly 100 mainstream foundational and vertical models [3][15] - By 2026, the goal is to establish a complete standard and rule system for computing power interconnectivity, with nationwide standardization expected by 2028 [3] - The computing power service platform can manage one-sixth of the national computing power scale, supporting billions of computing calls daily [8] Group 3 - The AI-driven innovations showcased at the conference include a portable drone countermeasure system, which boasts over 99% recognition accuracy and a response time of under 3 seconds [4][6] - A new AI production line capable of industrial-scale production of large models has been established in Jinan, Shandong, with an annual capacity to handle over 1,000 orders [10][12] - The overall scale of intelligent computing in China is projected to grow by over 40% this year, driven by the rapid development of AI applications [13][15] Group 4 - The Ministry of Industry and Information Technology emphasizes the need for reasonable layout and quality improvement of intelligent computing facilities to meet the demands of emerging industries [15] - Intelligent computing is increasingly applied in various fields, including generative large models, autonomous driving, embodied intelligence, smart cities, and industrial manufacturing [15]