中国信通院发布《人工智能安全治理研究报告（2025年）》

Core Viewpoint - The report by the China Academy of Information and Communications Technology highlights multiple challenges faced by the artificial intelligence industry, including technical, application, management, and collaborative governance issues [1] Group 1: Technical Challenges - The development of technology has expanded the internal security vulnerabilities, making the situation increasingly severe. The inherent characteristics of models lead to complex security control issues, with asymmetric attack and defense in AI security becoming more pronounced [1] - Compared to traditional cybersecurity, AI security presents a new situation characterized by "easy to attack, hard to defend" [1] Group 2: Application Challenges - The extension of applications has led to new security challenges, including iterative application forms, misuse of open-source ecosystems, and vulnerabilities in the software supply chain. These external security issues also amplify secondary risks at individual, group, and societal levels [1] Group 3: Management Challenges - The construction of organizational management systems faces new bottlenecks due to the black-box nature of AI technology, application uncertainties, and the diversity of the industry chain. This creates management challenges for different organizational entities involved in model development, system deployment, and application operation [1] Group 4: Collaborative Governance Challenges - There is a lack of sufficient collaborative efforts in core governance areas within the industry. Currently, unified standards have not been established, and collaborative mechanisms still need improvement [1]