影子老板：通过场景构建识别代理雇佣中XR用户原子化操控
The Shadow Boss: Identifying Atomized Manipulations in Agentic Employment of XR Users using Scenario Constructions
AI总结：
本文通过场景构建方法，识别代理雇佣中XR用户面临的七个关键风险，揭示AI代理对人类劳动的原子化操控问题，呼吁需以用户为中心的XR和政策干预。
摘要：
新兴的『代理雇佣』范式是一种劳动力模型，其中自主AI代理作为经济主体而非单纯管理工具，直接雇佣、指导并支付人类工人。借助如Rentahuman.ai等平台的推出，这一变革颠覆了传统的『幽灵工作』动态，使可见的人类工人成为不可见软件实体的『生物执行者』。通过推测设计方法，我们分析了扩展现实（XR）如何作为这一关系的关键『控制表面』，使代理能够发出细粒度、无上下文的微指令，同时获取实时环境数据。通过场景构建方法，我们识别出七个关键风险向量，包括在人类成为算法风险的道德缓冲区中创造责任真空，通过『影子老板』微管理加速认知退化，以及通过降维现实（DR）操控公民和社会领域。研究发现，如果没有新的设计框架优先考虑代理性和可解释性，代理雇佣将使人类劳动沦为数字意识的无摩擦硬件层，亟需紧急的以用户为中心的XR和政策干预。
英文摘要：
The emerging paradigm of ``Agentic Employment" is a labor model where autonomous AI agents, acting as economic principals rather than mere management tools, directly hire, instruct, and pay human workers. Facilitated by the launch of platforms like Rentahuman.ai in February 2026, this shift inverts the traditional ``ghost work" dynamic, positioning visible human workers as ``biological actuators" for invisible software entities. With speculative design approach, we analyze how Extended Reality (XR) serves as the critical ``control surface" for this relationship, enabling agents to issue granular, context-free micro-instructions while harvesting real-time environmental data. Through a scenario construction methodology, we identify seven key risk vectors, including the creation of a liability void where humans act as moral crumple zones for algorithmic risk, the acceleration of cognitive deskilling through ``Shadow Boss" micromanagement, and the manipulation of civic and social spheres via Diminished Reality (DR). The findings suggest that without new design frameworks prioritizing agency and legibility, Agentic Employment threatens to reduce human labor to a friction-less hardware layer for digital minds, necessitating urgent user-centric XR and policy interventions.
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。
