Understanding the Role of Cultural Context and User Interaction in Artificial Intelligence Based Systems

IF 3 4区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Global Information Technology Management Pub Date : 2020-07-02 DOI:10.1080/1097198X.2020.1794131

Kyootai Lee, K. Joshi

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引用次数: 3

Abstract

Organizations have begun to adopt and implement artificial intelligence (AI) as part of their IT initiatives. Though researchers have focused on adoption, implementation, and use of IS for many decades, AI-based systems or AI system (AIS) are opening new vistas for research in the field. Among many aspects of AIS implementation and usage, this essay focuses on one of the key characteristics of AI that has been frequently mentioned in contemporary practitioner literature, but little researched – interaction between users and their AI, called mutual learning. That is, AI should learn from its users’ decision-making behaviors, and users should better understand how AI can support and influence their decision-making as well as its limitations. Based on a discussion of socio-technological contexts for successful implementation of AI in organizations, this essay describes the unique nature of AIS that sets them apart from traditional IS, particularly on the issue of mutual learning. It also identifies the possible role of users’ cultural context and its influence on user-AI interactions and progressive customization of AIS.

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理解文化背景和用户交互在基于人工智能的系统中的作用

组织已经开始采用和实现人工智能(AI)作为其IT计划的一部分。尽管研究人员几十年来一直专注于采用、实施和使用信息系统，但基于人工智能的系统或人工智能系统(AIS)正在为该领域的研究开辟新的前景。在人工智能实现和使用的诸多方面中，本文重点关注人工智能的一个关键特征，这个特征在当代实践者文献中经常被提及，但很少被研究——用户与人工智能之间的交互，称为相互学习。也就是说，人工智能应该从用户的决策行为中学习，用户应该更好地了解人工智能如何支持和影响他们的决策，以及人工智能的局限性。基于对人工智能在组织中成功实施的社会技术背景的讨论，本文描述了人工智能与传统人工智能不同的独特性，特别是在相互学习的问题上。它还确定了用户文化背景的可能作用及其对用户-人工智能交互和人工智能渐进定制的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Global Information Technology Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

4.10

自引率

10.00%

发文量

期刊介绍： The Journal of Global Information Technology Management (JGITM) is a refereed international journal that is supported by Global IT scholars from all over the world. JGITM publishes articles related to all aspects of the application of information technology for international business. The journal also considers a variety of methodological approaches and encourages manuscript submissions from authors all over the world, both from academia and industry. In addition, the journal will also include reviews of MIS books that have bearing on global aspects. Practitioner input will be specifically solicited from time-to-time in the form of invited columns or interviews. Besides quality work, at a minimum each submitted article should have the following three components: an MIS (Management Information Systems) topic, an international orientation (e.g., cross cultural studies or strong international implications), and evidence (e.g., survey data, case studies, secondary data, etc.). Articles in the Journal of Global Information Technology Management include, but are not limited to: -Cross-cultural IS studies -Frameworks/models for global information systems (GIS) -Development, evaluation and management of GIS -Information Resource Management -Electronic Commerce -Privacy & Security -Societal impacts of IT in developing countries -IT and Economic Development -IT Diffusion in developing countries -IT in Health Care -IT human resource issues -DSS/EIS/ES in international settings -Organizational and management structures for GIS -Transborder data flow issues -Supply Chain Management -Distributed global databases and networks -Cultural and societal impacts -Comparative studies of nations -Applications and case studies

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