AI提升效率却悄悄消磨专家能力，论文提出保护人类技能的互动框架。
From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction
- 通过长期研究发现AI使专家判断力逐渐退化
- 揭示了隐性技能衰退导致专业身份被商品化
- 构建兼顾机构质量与员工自主权的共治机制
在未来的职场讨论中，人工智能被视为提升生产力的终极工具。然而，在效率提升的背后，隐藏着人类专业知识与自主性的缓慢侵蚀。本文将关注点从‘未来工作’转向‘未来工作者’，探讨人工智能作为增强者与侵蚀者的双重角色——既提升表现，又削弱基础能力。我们对癌症专家在高风险工作环境中长达一年的AI使用进行了纵向研究，初期运营收益掩盖了‘直觉退化’现象：专家判断力逐步减弱。这些隐性影响演变为慢性伤害，如技能萎缩和身份商品化。基于此，我们与知识型劳动者共同构建了一个体面的人机交互框架，通过兼具制度质量目标与工人能力建设的双重机制，实现对技能退化的识别、遏制与恢复，并维护人类身份。该框架在医疗与软件工程领域验证，为平衡生产力与人类专业性的未来人机关系迈出关键一步。
原文摘要 · Abstract (English)
In the future of work discourse, AI is touted as the ultimate productivity amplifier. Yet, beneath the efficiency gains lie subtle erosions of human expertise and agency. This paper shifts focus from the future of work to the future of workers by navigating the AI-as-Amplifier Paradox: AI's dual role as enhancer and eroder, simultaneously strengthening performance while eroding underlying expertise. We present a year-long study on the longitudinal use of AI in a high-stakes workplace among cancer specialists. Initial operational gains hid ``intuition rust'': the gradual dulling of expert judgment. These asymptomatic effects evolved into chronic harms, such as skill atrophy and identity commoditization. Building on these findings, we offer a framework for dignified Human-AI interaction co-constructed with professional knowledge workers facing AI-induced skill erosion without traditional labor protections. The framework operationalizes sociotechnical immunity through dual-purpose mechanisms that serve institutional quality goals while building worker power to detect, contain, and recover from skill erosion, and preserve human identity. Evaluated across healthcare and software engineering, our work takes a foundational step toward dignified human-AI interaction futures by balancing productivity with the preservation of human expertise.
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