Core Viewpoint - The article discusses the emergence of "intelligent agents" as a significant commercial anchor and the next generation of human-computer interaction, highlighting the shift from "I say AI responds" to "I say AI does" [1] Group 1: Current State and Industry Perspectives - The concept of intelligent agents is currently the hottest topic in the market, with various definitions leading to confusion [3] - A survey indicates that 67.4% of respondents consider the safety and compliance issues of intelligent agents "very important," with an average score of 4.48 out of 5 [9] - The majority of respondents believe that the industry has not adequately addressed safety compliance, with 48.8% stating that there is some awareness but insufficient investment [9] Group 2: Key Challenges and Concerns - The complexity and novelty of risks associated with intelligent agents are seen as the biggest challenges in governance, with 62.8% of respondents agreeing [11] - The most concerning safety compliance issues identified are AI hallucinations and erroneous decisions (72%) and data leaks (72%) [14] - The industry is particularly worried about user data leaks (81.4%) and unauthorized operations leading to business losses (53.49%) [16] Group 3: Collaboration and Security Risks - The interaction of multiple intelligent agents raises new security risks, necessitating specialized security mechanisms [22] - The industry is working on security solutions for intelligent agent collaboration, such as the ASL (Agent Security Link) technology [22] Group 4: Data Responsibility and Transparency - The responsibility for data handling in intelligent agents is often placed on developers, with platforms maintaining a neutral stance [35] - There is a lack of clarity regarding data flow and responsibility, leading to potential blind spots in user data protection [34] - Many developers are unaware of their legal responsibilities regarding user data, which complicates compliance efforts [36]