Training for economic freedom: an ethical systems approach to AI-driven workforce development

Purpose To introduce an ethics-led framework for economic freedom training that integrates artificial intelligence and financial literacy to empower a generationally diverse workforce. Design/methodology/approach This conceptual paper synthesizes management, learning and development and ethics scholarship to propose a unified ethical systems framework for economic freedom training that specifies core training components, implementation strategies, ethical principles and exemplar cases. Findings AI can personalize financial education, increase access and sustain engagement; however, responsible use requires explicit alignment with ethical principles such as justice, duty-based transparency, stakeholder responsibility, autonomy and privacy. The proposed framework integrates these principles into program design and is illustrated with cross-industry cases. Originality/value Rather than treating “ethics” as an add-on, the paper advances an ethics-led systems approach that embeds moral responsibility across organizational training systems, links concrete risks such as bias, opacity, privacy and liability to named ethical principles, and provides a single, consolidated roadmap for practice and research.

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Publication Details

Journal
International Journal of Ethics and Systems
Published
2025-10-08
DOI
https://doi.org/10.1108/ijoes-07-2025-0367
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

Training for economic freedom: an ethical systems approach to AI-driven workforce development

Dennis Pearson, Emily Gill, Stephanie Bilderback, Sarah Ahlheit
International Journal of Ethics and Systems
Digital Economy and Work Transformation
article

Training for economic freedom: an ethical systems approach to AI-driven workforce development

Dennis Pearson, Emily Gill, Stephanie Bilderback, Sarah Ahlheit
article en

Abstract

Purpose To introduce an ethics-led framework for economic freedom training that integrates artificial intelligence and financial literacy to empower a generationally diverse workforce. Design/methodology/approach This conceptual paper synthesizes management, learning and development and ethics scholarship to propose a unified ethical systems framework for economic freedom training that specifies core training components, implementation strategies, ethical principles and exemplar cases. Findings AI can personalize financial education, increase access and sustain engagement; however, responsible use requires explicit alignment with ethical principles such as justice, duty-based transparency, stakeholder responsibility, autonomy and privacy. The proposed framework integrates these principles into program design and is illustrated with cross-industry cases. Originality/value Rather than treating “ethics” as an add-on, the paper advances an ethics-led systems approach that embeds moral responsibility across organizational training systems, links concrete risks such as bias, opacity, privacy and liability to named ethical principles, and provides a single, consolidated roadmap for practice and research.

International Journal of Ethics and Systems
Austin Peay State University (US)
Openalex Percentile: Top 63%
Digital Economy and Work Transformation
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Training for economic freedom: an ethical systems approach to AI-driven workforce development — Dennis Pearson, Emily Gill, et al. · International Journal of Ethics and Systems (2025) | TGRS Research Map | TGRS