智能体狂奔之时，安全是否就绪了？

Core Insights - The year 2025 is referred to as the "Year of Intelligent Agents," marking a paradigm shift in AI development from "I say AI responds" to "I say AI acts" [1] - The report titled "Intelligent Agent Health Check Report - Safety Panorama Scan" aims to assess whether safety and compliance are ready amidst the rapid development of intelligent agents [1] - The core capabilities of intelligent agents, namely autonomy and actionability, are identified as potential risk areas [1] Dimension of Fault Tolerance and Autonomy - The report establishes a model based on two dimensions: fault tolerance and autonomy, which are considered core competitive indicators for the future development of intelligent agents [2] - Fault tolerance is crucial in high-stakes fields like healthcare, where errors can have severe consequences, while low-stakes fields like creative writing allow for more flexibility [2] - Autonomy measures the ability of intelligent agents to make decisions and execute actions without human intervention, with higher autonomy leading to increased efficiency but also greater risks [2] Industry Perspectives on Safety and Compliance - A survey revealed that 67.4% of respondents consider safety and compliance issues "very important," with an average score of 4.48 out of 5 [4] - There is no consensus on whether the industry is adequately addressing safety and compliance, with 48.8% believing there is some attention but insufficient investment [4] - The top three urgent issues identified are stability and quality of task execution (67.4%), exploration of application scenarios (60.5%), and enhancement of foundational model capabilities (51.2%) [5] Concerns Over AI Risks - The most common safety and compliance concerns include AI hallucinations and erroneous decisions (72%) and data leaks (72%) [6] - The industry is particularly worried about user data leaks (81.4%) and unauthorized operations leading to business losses (53.49%) [6] Responsibility and Data Management - The responsibility for data management in intelligent agents is often unclear, with user agreements typically placing the burden on developers [14][15] - Many developers lack awareness of their legal responsibilities regarding user data, which complicates compliance efforts [15] - The report highlights the need for clearer frameworks and standards to ensure responsible data handling and compliance within the intelligent agent ecosystem [15]