Core Viewpoint - The release of the 2.0 version of the "Artificial Intelligence Security Governance Framework" emphasizes the need for enhanced governance measures and risk classification in response to the rapid development of AI technologies and their associated security risks [1][2]. Group 1: Framework Enhancements - The 2.0 version expands horizontally and deepens vertically compared to the 1.0 version, incorporating trends in AI technology development and application practices [1] - New governance principles include "trustworthy applications and prevention of loss of control," aiming to ensure AI technology remains safe, reliable, and under human control [1] - The framework introduces a risk classification system with five levels and eight basic principles for trustworthy AI, focusing on human control, respect for national sovereignty, and enhancing system transparency [2] Group 2: Security Risks and Measures - The framework categorizes security risks into three types: intrinsic security risks, application security risks, and derived application risks [7] - Intrinsic risks highlight the dangers of open-source models potentially enabling malicious training, while application risks address the spread of low-quality information and content pollution [7] - Derived risks include challenges to employment structures and ethical concerns in research, particularly in sensitive fields like biology and genetics [7] - A total of 30 technical response measures and 14 comprehensive governance measures are proposed, including dynamic filtering of inputs and outputs to prevent malicious content generation [7][8] Group 3: AI Model Vulnerabilities - Demonstrations at the cybersecurity expo showcased how AI models can be compromised through exposed API interfaces, leading to potential data breaches and unauthorized access to sensitive information [4][5] - Once compromised, attackers can monitor AI model operations and potentially deploy ransomware or manipulate the model's outputs [5] Group 4: Drone Security Measures - The expo also featured solutions for countering unauthorized drone flights, including a portable drone countermeasure gun and an advanced detection system that utilizes AI algorithms for quick identification and tracking of drone operators [9][10] - This system has been implemented by law enforcement in various regions, enhancing the ability to combat illegal drone activities [11]