这些摄像头就像魔戒一样
"These cameras are just like the Eye of Sauron": A Sociotechnical Threat Model for AI-Driven Smart Home Devices as Perceived by UK-Based Domestic Workers
AI总结：
本文提出一个社技术威胁模型，分析AI驱动的智能家庭设备对家庭工作者隐私和自主权的影响，揭示了AI分析、数据流动和雇佣安排对隐私风险的塑造作用。
摘要：
随着AI驱动的智能家庭设备的日益普及，家庭工作者（DWs）面临新的隐私风险，他们在雇主家中经常被监控，同时也在自己的家中使用智能设备。我们对18名英国家庭工作者进行了半结构化访谈，并通过通信隐私管理（CPM）的视角进行了以人为本的威胁建模分析。我们的发现扩展了现有的威胁模型，超越了抽象对手和单家庭环境，展示了AI分析、残留数据日志和跨家庭数据流动如何塑造参与者面临的隐私风险。在雇主控制的家中，AI功能和不透明的、由代理机构中介的雇佣安排加剧了监控，并限制了参与者协商隐私边界的能力。在自己的家中，参与者拥有更大的控制权，因为他们是设备的所有者，但仍然面临挑战，包括性别化的行政角色、不透明的AI功能以及数据保留的不确定性。我们将这些见解综合成一个社技术威胁模型，将家庭工作者代理机构视为制度对手，并将AI驱动的隐私风险映射到相互连接的家庭中，我们还概述了加强家庭工作者隐私和自主权的社会和实际影响。
英文摘要：
The growing adoption of AI-driven smart home devices has introduced new privacy risks for domestic workers (DWs), who are frequently monitored in employers' homes while also using smart devices in their own households. We conducted semi-structured interviews with 18 UK-based DWs and performed a human-centered threat modeling analysis of their experiences through the lens of Communication Privacy Management (CPM). Our findings extend existing threat models beyond abstract adversaries and single-household contexts by showing how AI analytics, residual data logs, and cross-household data flows shaped the privacy risks faced by participants. In employer-controlled homes, AI-enabled features and opaque, agency-mediated employment arrangements intensified surveillance and constrained participants' ability to negotiate privacy boundaries. In their own homes, participants had greater control as device owners but still faced challenges, including gendered administrative roles, opaque AI functionalities, and uncertainty around data retention. We synthesize these insights into a sociotechnical threat model that identifies DW agencies as institutional adversaries and maps AI-driven privacy risks across interconnected households, and we outline social and practical implications for strengthening DW privacy and agency.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
