智能时代人机协作中的角色重塑：边界演化、行为适应与非标准化判断力

智能时代人机协作中的角色重塑：边界演化、行为适应与非标准化判断力

杨丽茵

（澳门科技大学商学院，澳门，999078）

摘 要：人工智能技术的飞速发展深刻重塑组织人机协作模式，传统 “替代 — 增强” 二元框架难以解释现实悖论：复杂创意工作可被算法模仿，低门槛情感劳动却无法被机器替代。由此引出人机协作边界本质与动态演化两大研究问题。本文立足组织行为学视角，融合多学科理论，构建可算法化边界理论框架。研究表明，该边界由规则明确性、数据完备性、价值嵌入性三维度共同约束，并在技术、任务、主体、制度的闭环中持续演化。经四大行业案例分析，本文验证了四维协同演化模型的有效性。研究发现，智能时代人类核心价值是兼具技术理解、经验沉淀与共情能力的非标准化判断力，本质是在复杂情境下产出原创方案的创造力。本研究可为组织战略、人力管理与领导力转型提供完整理论与实践指引，助力管理范式从效率优化转向创造力激发。

关键字：人机协同；组织行为；可算法化边界；非标准化判断力；协同演化

Role Remolding, Boundary Evolution, Behavioral Adaptation and Heterogeneous Judgment in Human-Machine Collaboration in the AI Era

Liyin Yang

(Business School, Macau University of Science and Technology, Macau, 999078)

Abstract ： The rapid development of artificial intelligence has profoundly reshaped human-machine collaboration within organizations. The traditional "substitution-augmentation" dual framework fails to explain a practical paradox: sophisticated creative work can be imitated by algorithms, while low-threshold emotional labor cannot be replaced by machines. This raises two research questions concerning the essence and dynamic evolution of human-machine collaboration boundaries. From the perspective of organizational behavior and integrating multidisciplinary theories, this paper constructs the theoretical framework of the algorithmizability boundary. The research indicates that the boundary is jointly determined by three dimensions, namely rule clarity, data completeness and value embeddedness, and evolves continuously within the closed loop of technology, task, subject and institution. Based on case analyses of four major industries, this paper verifies the effectiveness of the four-dimensional co-evolution model. The study finds that the core value of human beings in the intelligent era lies in non-standardized judgment integrating technical understanding, experience accumulation and empathy, whose essence is the creativity to produce original solutions in complex scenarios. This research provides comprehensive theoretical and practical guidance for organizational strategy, human resource management and leadership transformation, facilitating the shift of management paradigms from efficiency optimization to creativity stimulation. 

Keywords: Human-AI Collaboration; organizational Behavior; Algorithmizability Boundary;Non-Standardized Judgment; Co-Evolution

DOI：10.68079/moglkx.2026.3.08  [原文下載][Download PDF]