专家用AI外化经验，反被自动化威胁，但也能借此重塑价值。
The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value
- 分析专家与AI协作中隐性知识外化的过程
- 揭示知识外化既风险职业替代，也催生新专业价值
- 适合教育、组织与政策制定者参考
本文探讨专业人士与人工智能之间的一个根本性悖论：当领域专家越来越多地通过将隐性知识外化给AI系统来协作时，其自身专业知识的自动化进程可能被加速。通过对多个专业领域的分析，我们识别出人机协作中的新兴模式，并提出帮助专业人士应对这一演变格局的框架。结合知识管理、专家研究、人机交互及劳动经济学的研究，我们深入理解了在日益强大的AI时代，专业价值如何得以保留与转型。分析表明，尽管隐性知识的外化对传统职业角色构成一定风险，但也为专业知识的演进和新型专业价值的出现创造了机会。最后，我们提出对专业教育、组织设计和政策制定的启示，以确保专家知识的编码能增强而非削弱人类专业知识的价值。
原文摘要 · Abstract (English)
This perspective paper examines a fundamental paradox in the relationship between professional expertise and artificial intelligence: as domain experts increasingly collaborate with AI systems by externalizing their implicit knowledge, they potentially accelerate the automation of their own expertise. Through analysis of multiple professional contexts, we identify emerging patterns in human-AI collaboration and propose frameworks for professionals to navigate this evolving landscape. Drawing on research in knowledge management, expertise studies, human-computer interaction, and labor economics, we develop a nuanced understanding of how professional value may be preserved and transformed in an era of increasingly capable AI systems. Our analysis suggests that while the externalization of tacit knowledge presents certain risks to traditional professional roles, it also creates opportunities for the evolution of expertise and the emergence of new forms of professional value. We conclude with implications for professional education, organizational design, and policy development that can help ensure the codification of expert knowledge enhances rather than diminishes the value of human expertise.
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