人机双向契合提升管理决策精准度，实证验证了智能协同系统效能。
Person-AI Bidirectional Fit - A Proof-Of-Concept Case Study Of Augmented Human-Ai Symbiosis In Management Decision-Making Process
- 构建人机双向契合模型，动态匹配认知与情感行为。
- 协同系统比通用大模型更贴合首席执行官决策逻辑，减少误判。
- 适合研究人机协作、智能决策系统的学者与管理者参考。
本文提出并验证了人-人工智能双向契合（Person-AI bidirectional fit）概念，即人类决策者与AI系统在认知、情感和行为层面持续演化的动态对齐。基于权变理论与质量理论，通过真实高管招聘案例开展验证：比较三位高管独立评估、增强型人机共生智能系统H3LIX-LAIZA，以及通用大语言模型的评估结果。结果显示，人类判断存在显著角色差异；而H3LIX-LAIZA与首席执行官隐含决策模型高度一致，包括识别高风险候选人并排除，以及纠正大模型的错误推荐。表明更高的人机契合度可作为连接增强型共生智能与精准、可信、情境敏感决策的机制。研究初步验证了该构念，并为H3LIX-LAIZA提供了概念验证。
原文摘要 · Abstract (English)
This article develops the concept of Person-AI bidirectional fit, defined as the continuously evolving, context-sensitive alignment-primarily cognitive, but also emotional and behavioral-between a human decision-maker and an artificial intelligence system. Grounded in contingency theory and quality theory, the study examines the role of P-AI fit in managerial decision-making through a proof-of-concept case study involving a real hiring process for a Senior AI Lead. Three decision pathways are compared: (1) independent evaluations by a CEO, CTO, and CSO; (2) an evaluation produced by an augmented human-AI symbiotic intelligence system (H3LIX-LAIZA); and (3) an assessment generated by a general-purpose large language model. The results reveal substantial role-based divergence in human judgments, high alignment between H3LIX-LAIZA and the CEOs implicit decision model-including ethical disqualification of a high-risk candidate and a critical false-positive recommendation from the LLMr. The findings demonstrate that higher P-AI fit, exemplified by the CEO H3LIX-LAIZA relationship, functions as a mechanism linking augmented symbiotic intelligence to accurate, trustworthy, and context-sensitive decisions. The study provides an initial verification of the P-AI fit construct and a proof-of-concept for H3LIX-LAIZA as an augmented human-AI symbiotic intelligence system.
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