【摘要】 人工智能大模型的应用让机器人变得愈发智能，与此同时伴随个体隐私的让渡。本文以人机传播中的隐私话题为切入点，在人机交互过程中，机器人融入生活对个体隐私带来的风险分为三个方面，一是收集信息的直接监视，如性别、年龄、个人居住地等；二是伴随数据集的丰富，加之“同意—使用”原则中个体和平台的不对等，情绪和精神状态等多维度敏感信息被收集；三是互动风险导致人机边界模糊，导致伴随性风险如安全风险、立法风险、社会风险、信任风险等产生，最终不利于网络空间的有序发展。基于此，本文试图从政策法律、技术规制及伦理设计等角度，提出人机交互中隐私保护问题的破解路径，以平衡技术创新、社会福祉和个人隐私保护之间的关系。更多还原

【Abstract】 The application of large model of artificial intelligence makes robots become more and more intelligent, and at the same time, with the transfer of individual privacy, this paper takes man-machine communication as the entry point. In the process of man-machine interaction, the risk of integrating robots into life to individual privacy is divided into three aspects. First, direct surveillance that collects information,Such as gender, age, and where an individual lives ETC. Second, with the abundance of data sets and the asymmetry between individuals and platforms in the “consent-use” principle, multi-dimensional sensitive information such as emotions and mental states is collected; Third, interactive risks lead to the blurring of human-machine boundaries, resulting in accompanying risks such as security risks, legislative risks, social risks, trust risks, etc., which is ultimately not conducive to the orderly development of cyberspace. Based on this, the author tries to propose a solution to the problem of privacy protection in human-computer interaction from the perspectives of policies, laws, technical regulations and ethical design, so as to balance the relationship between technological innovation, social well-being and personal privacy protection.更多还原