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.

翻译：本文提出了'人机双向适配'的概念，其定义为人类决策者与人工智能系统之间持续演进、情境敏感的协同状态——以认知协同为主，同时涵盖情感与行为层面的协同。研究以权变理论与质量理论为基础，通过一项涉及高级人工智能主管真实招聘流程的概念验证案例，探讨了人机适配在管理决策中的作用。研究比较了三种决策路径：(1) CEO、CTO和CSO的独立评估；(2) 增强型人机共生智能系统(H3LIX-LAIZA)生成的评估；(3) 通用大语言模型生成的评估。结果显示：人类判断存在显著的基于角色的分歧；H3LIX-LAIZA系统与CEO的隐性决策模型高度契合——包括对高风险候选人的伦理性否决，以及大语言模型产生的关键误报推荐。研究结果表明，更高水平的人机适配（以CEO与H3LIX-LAIZA的协同关系为例）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。本研究初步验证了人机适配的理论构建，并为H3LIX-LAIZA作为增强型人机共生智能系统提供了概念验证。