Purpose

Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human intelligence (HI) for international humanitarian logistics, this paper aims to adopt an unorthodox Yin–Yang dialectic approach to address how AI–HI interactions can be interpreted as a sophisticated cross-cultural knowledge creation (KC) system that enables more effective decision-making for providing humanitarian relief across borders.

Design/methodology/approach

This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.

Findings

Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI–HI collaboration: paradoxes of building a cross-cultural KC system, paradoxes of integrative AI and HI in moral judgement and paradoxes of processing moral-related information with emotions in AI–HI collaboration. Then applying the Yin–Yang dialectic to interpret Klir’s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI–HI decision-making for humanitarian logistics across cultures.

Practical implications

This paper aids not only in deeply understanding complex issues stemming from human emotions and cultural cognitions in the context of cross-border humanitarian logistics, but also equips culturally-diverse stakeholders to effectively navigate these challenges and their potential ramifications. It enhances the decision-making process and optimizes the synergy between AI and HI for cross-cultural humanitarian logistics.

Originality/value

The originality lies in the use of a cognitive methodology of the Yin–Yang dialectic to metaphorize the dynamic genesis of integrative AI-HI KC for international humanitarian logistics. Based on system science and knowledge management, this paper applies game theory, multi-objective optimization and Markov decision process to operationalize the conceptual framework in the context of cross-cultural humanitarian logistics.

中文翻译：

---

结合人工智能和人类智能来管理人道主义物流中的跨文化知识：知识创造的阴阳辩证系统观

目的

为了解决国际人道主义物流中人工智能（AI）与人类智能（HI）相结合的跨文化悖论，本文旨在采用非正统的阴阳辩证法来解决人工智能与人类智能的相互作用如何被解释为一种复杂的相互作用。跨文化知识创造（KC）系统，可以为跨境提供人道主义救援提供更有效的决策。

设计/方法论/途径

本文本质上是概念性和实用性的，其结构设计遵循真实影响研究的要求。

发现

基于实验信息和逻辑推理，作者首先识别了AI-HI协作中的三个关键跨文化挑战：构建跨文化KC系统的悖论、AI和HI整合在道德判断中的悖论以及处理道德相关问题的悖论。 AI-HI 协作中的信息与情感。然后应用阴阳辩证法来解释 Klir 的认识论框架（1993），作者提出了一种非常规的跨文化 KC 分层系统，用于理解跨文化人道主义物流的综合 AI-HI 决策。

实际影响

本文不仅有助于深入理解跨境人道主义物流背景下人类情感和文化认知所产生的复杂问题，而且使文化多元化的利益相关者能够有效应对这些挑战及其潜在影响。它增强了决策过程并优化了人工智能和 HI 之间跨文化人道主义物流的协同作用。

原创性/价值

独创性在于运用阴阳辩证法的认知方法来比喻国际人道主义物流综合AI-HI KC的动态起源。本文基于系统科学和知识管理，运用博弈论、多目标优化和马尔可夫决策过程，在跨文化人道主义物流背景下实施概念框架。