Applying the Triarchic Theory of Cognitive Disposition in AI stewardship

South African Journal of Business Management

 
 
Field Value
 
Title Applying the Triarchic Theory of Cognitive Disposition in AI stewardship
 
Creator Oosthuizen, Jacobus H.
 
Subject — cognitive disposition; artificial intelligence (AI); responsible AI stewardship; episteme-analytical intelligence; techne-inventive intelligence; phronesis-synergic intelligence; leadership
Description 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.
 
Publisher AOSIS
 
Contributor
Date 2024-07-10
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajbm.v55i1.4363
 
Source South African Journal of Business Management; Vol 55, No 1 (2024); 9 pages 2078-5976 2078-5585
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://sajbm.org/index.php/sajbm/article/view/4363/3006 https://sajbm.org/index.php/sajbm/article/view/4363/3007 https://sajbm.org/index.php/sajbm/article/view/4363/3008 https://sajbm.org/index.php/sajbm/article/view/4363/3009
 
Coverage — — —
Rights Copyright (c) 2024 Jacobus H. Oosthuizen https://creativecommons.org/licenses/by/4.0
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