摘要
基于生成式人工智能的强通用能力、交互能力和生成能力,结合当前产业现状,总结了面向用户的生成式人工智能服务具有服务形态多元、交互方式革新、服务模式复杂的特点,梳理了生成式人工智能技术应用对个人信息安全带来的全方位影响及生成式人工智能模型本身带来的挑战。在此基础上,从监管治理、标准规范、企业管理层面给出提升个人信息安全的具体建议和方案。
Based on the strong universality,interaction,and generation capabilities of generative artificial intelligence(AI),combined with the current industrial situation,this paper summarizes the characteristics of user oriented generative AI services,including diverse service forms,innovative interaction methods,and complex service modes.It also sorts out the comprehensive impact of the application of generative AI technology on individual information security and the challenges brought by the model itself.On this basis,this article proposes specific suggestions and plans to enhance personal information security from the perspectives of regulatory governance,standard specifications,and enterprise management.
作者
武林娜
宋恺
王淞鹤
WU Linna;SONG Kai;WANG Songhe(CTTL Terminal Labs,China Academy of Information and Communications Technology,Beijing 100191,China;Key Laboratory of Mobile Application Innovation and Governance Technology,Beijing 100191,China)
出处
《信息通信技术与政策》
2024年第1期13-18,共6页
Information and Communications Technology and Policy
关键词
生成式人工智能
人工智能
个人信息安全
大模型
generative artificial intelligence
artificial intelligence
personal information security
large model