AI应用泄露个人隐私？数据安全亟需构建三方“协作桥”

Core Insights - The rapid development of artificial intelligence (AI) has led to increased privacy risks for users, as their personal data is often exploited without consent [1][3] - A collaborative effort among smart terminal manufacturers, app developers, and users is essential to ensure data privacy and security [1][4] Group 1: AI Development and Privacy Risks - AI's explosive growth relies on vast amounts of user data, which raises significant privacy concerns [1] - The National Cybersecurity Center of China reported multiple mobile applications involved in illegal collection and use of personal information, many of which are related to AI models [1][3] Group 2: Security Measures and Challenges - A joint white paper predicts a fundamental shift in mobile agent security architecture from "external" to "internal" protection, emphasizing the need for hardware and system restructuring [2] - The white paper identifies three core challenges for mobile agent security technology: computational overhead from encryption affecting user experience, the diversity of hardware platforms complicating standardization, and unpredictable security incidents due to autonomous decision-making [3] Group 3: Regulatory and Standardization Efforts - Regulatory bodies are intensifying personal information protection measures, pushing for data collection practices to become minimal, necessary, transparent, and controllable [3] - Experts suggest that initial standards and regulations should be established and continuously revised to keep pace with AI technology advancements [4]