Combining artificial and human intelligence to manage cross-cultural knowledge in humanitarian logistics: a Yin–Yang dialectic systems view of knowledge creation

IF 6.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Knowledge Management Pub Date : 2024-02-09 DOI:10.1108/jkm-06-2023-0458
Tachia Chin, T.C.E. Cheng, Chenhao Wang, Lei Huang
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Abstract

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.

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结合人工智能和人类智能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,本文旨在采用一种非正统的阴阳辩证法来探讨如何将人工智能与人类智能的互动解释为一种复杂的跨文化知识创造(KC)系统,从而为跨国界的人道主义救援提供更有效的决策。研究结果基于实验信息和逻辑推理,作者首先确定了人工智能与人机交互合作中的三个关键跨文化挑战:构建跨文化知识创造系统的悖论、人工智能与人机交互在道德判断中的整合悖论以及人工智能与人机交互合作中用情感处理道德相关信息的悖论。然后,作者运用阴阳辩证法解释了 Klir 的认识论框架(1993 年),提出了一个非常规的跨文化 KC 分层系统,用于理解跨文化人道主义物流中的人工智能-人机交互综合决策。 本文不仅有助于深入理解跨境人道主义物流背景下由人类情感和文化认知产生的复杂问题,还能帮助不同文化背景的利益相关者有效地应对这些挑战及其潜在影响。原创性/价值原创性在于使用阴阳辩证法的认知方法来隐喻国际人道主义物流中人工智能与人道智能整合 KC 的动态起源。本文以系统科学和知识管理为基础,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的背景下实现了概念框架的可操作性。
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来源期刊
CiteScore
13.70
自引率
15.70%
发文量
99
期刊介绍: Knowledge Management covers all the key issues in its field including: ■Developing an appropriate culture and communication strategy ■Integrating learning and knowledge infrastructure ■Knowledge management and the learning organization ■Information organization and retrieval technologies for improving the quality of knowledge ■Linking knowledge management to performance initiatives ■Retaining knowledge - human and intellectual capital ■Using information technology to develop knowledge management ■Knowledge management and innovation ■Measuring the value of knowledge already within an organization ■What lies beyond knowledge management?
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