生成式 AI 表现出色后还剩什么？一项关于个体与组织认知资本的整合综述
When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations
AI 导读
一篇 arXiv 整合性叙事综述以“认知资本”为框架，研究生成式 AI 进入知识工作后，个人与组织的知识、技能与判断力长期会发生什么变化。文章区分个体与组织认知资本和人机系统能力，提出练习替代、脚手架与反馈、元认知校准、组织聚合四种机制，并总结七条证据原则和五个待验证的组织设计杠杆。
正文 · 原文
Abstract:Generative artificial intelligence is rapidly entering knowledge work, and its short-term productivity benefits are increasingly documented. Less is known about what happens, over time, to the knowledge, skills and judgment that remain in people and organizations. This integrative narrative review addresses that question through the construct of cognitive capital: the accumulated, renewable and depletable stock of knowledge, cognitive and metacognitive capabilities, and practices that enables an individual or an organization to learn, interpret information, exercise judgment, solve problems and adapt. We distinguish individual and organizational cognitive capital from the capability of the human-AI system, so that gains in joint performance and losses in human capability can be observed at the same time. Drawing on experimental, field and conceptual work, we propose four mechanisms through which interaction with AI affects cognitive capital: substitution of practice, scaffolding and feedback, metacognitive calibration, and organizational aggregation. Seven principles summarize the current evidence, including that assisted performance differs from retained competence, that the same technology can support or displace learning depending on design and use, and that individual gains can coexist with reduced collective diversity. For each mechanism we derive testable propositions, and we discuss five design levers for organizations as proposals to be validated rather than established practice. We conclude that cognitive capital offers a multilevel frame for governing AI adoption and outline a research agenda centered on longitudinal, multilevel measurement.
| Comments: | 16 pages, 1 figure, 4 table |
| Subjects: | Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.38647 [cs.HC] |
| (or arXiv:2610.38647v1 [cs.HC] for this version) | |
| https://doi.org/10.48550/arXiv.2610.38647 arXiv-issued DOI via DataCite |
Submission history
From: Giuseppe Riva [view email]
[v1]
Wed, 28 Oct 2026 10:58:51 UTC (2,324 KB)
来源：arXiv cs.AI · arxiv.org