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.
Authors
- Dennis Pearson
- Emily Gill (ORCID: https://orcid.org/0000-0003-1893-8278)
- Stephanie Bilderback
- Sarah Ahlheit
Institutions
- Austin Peay State University (US)
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