Applying the Triarchic Theory of Cognitive Disposition in AI stewardship

IF 0.9 4区 管理学 Q4 BUSINESS South African Journal of Business Management Pub Date : 2024-07-10 DOI:10.4102/sajbm.v55i1.4363
J. H. Oosthuizen
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Abstract

Purpose: The purpose of this article is to philosophically argue the applicability of the Triarchic Theory of Cognitive Disposition (TTCD) in responsible artificial intelligence (AI) stewardship.Design/methodology/approach: An overview of the Triarchic Theory and its three domains, Episteme-Analytical Intelligence, Techne-Inventive Intelligence, and Phronesis-Synergic Intelligence in relation to the challenges of integrating AI into our societies and organisations is provided, and argues that the theory provides a framework for responsible AI stewardship.Findings/results: The article provides a conceptual philosophical framework for responsible AI stewardship.Practical implications: The TTCD can help facilitate the responsible, ethical, and effective implementation of AI in organisational contexts. It provides practical examples of how the theory can be applied and highlights the ethical dilemmas associated with the integration of AI into our socio-economic fabric. The conceptualised insights can help guide business and society in the responsible integration of AI.Originality/value: A new framework for addressing the challenges of integrating AI into our societies and organisations is provided. Practical examples demonstrate how the theory can be applied in organisational contexts, providing value to business leaders and practitioners. Additionally, the insights into the ethical quandaries associated with AI integration can benefit policymakers, academics, and society at large. Overall, the scientific contribution is its proposal of a comprehensive cognitive disposition that can guide responsible and effective AI stewardship.
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在人工智能管理中应用认知倾向三层次理论
目的:本文旨在从哲学角度论证认知倾向三层次理论(TTCD)在负责任的人工智能(AI)管理中的适用性:文章概述了三元理论及其三个领域--认识-分析智能、技术-创新智能和思维-协同智能--与将人工智能融入我们的社会和组织所面临的挑战的关系,并论证了该理论为负责任的人工智能管理提供了一个框架:文章为负责任的人工智能管理提供了一个概念性哲学框架:TTCD有助于促进在组织环境中负责任、合乎道德和有效地实施人工智能。它提供了如何应用该理论的实例,并强调了与将人工智能融入我们的社会经济结构相关的道德困境。概念化的见解有助于指导企业和社会以负责任的方式整合人工智能:为应对将人工智能融入我们的社会和组织所面临的挑战提供了一个新的框架。实例展示了如何在组织环境中应用该理论,为企业领导者和从业人员提供了价值。此外,对与人工智能整合相关的伦理窘境的见解也能让政策制定者、学者和整个社会受益。总之,该书的科学贡献在于它提出了一种全面的认知处置方法,可以指导负责任和有效的人工智能管理。
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
CiteScore
2.00
自引率
7.70%
发文量
26
审稿时长
25 weeks
期刊介绍: The South African Journal of Business Management publishes articles that have real significance for management theory and practice. The content of the journal falls into two categories: managerial theory and management practice: -Management theory is devoted to reporting new methodological developments, whether analytical or philosophical. In general, papers should, in addition to developing a new theory, include some discussion of applications, either historical or potential. Both state-of-the-art surveys and papers discussing new developments are appropriate for this category. -Management practice concerns the methodology involved in applying scientific knowledge. It focusses on the problems of developing and converting management theory to practice while considering behavioural and economic realities. Papers should reflect the mutual interest of managers and management scientists in the exercise of the management function. Appropriate papers may include examples of implementations that generalise experience rather than specific incidents and facts, and principles of model development and adaptation that underline successful application of particular aspects of management theory. The relevance of the paper to the professional manager should be highlighted as far as possible.
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