The New Frontier – Applying Quality Management Principles to Learning in the Age of AI and Digital Transformation

This article examines the application of Quality management principles to learning in theage of AI and digital transformation. The traditional model is considered to be inadequate incoping with modern challenges associated with AI deployment due to concerns of privacy,transparency, and measurement of outcomes. A conceptual model that is effective and addressesthe concerns should be underpinned by guidelines such as ISO/EIC 42001, OECD, UNESCO,IEEE P7001, and NIST AI RMF 2023 promote transparency, integrity, human oversight, androbustness of AI systems in learning ecosystems. Implementation of the conceptual frameworkcontributes towards better ethical compliance by integrating ethical oversight, promotes trustwhile reinforcing the adoption of AI within learning environments, and positive culture ofcontinuous improvement.

Publication Details

Journal
Figshare
Published
2025-10-14
DOI
https://doi.org/10.6084/m9.figshare.30353350
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

The New Frontier – Applying Quality Management Principles to Learning in the Age of AI and Digital Transformation

Figshare
Ethics and Social Impacts of AI
article

The New Frontier – Applying Quality Management Principles to Learning in the Age of AI and Digital Transformation

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Abstract

This article examines the application of Quality management principles to learning in theage of AI and digital transformation. The traditional model is considered to be inadequate incoping with modern challenges associated with AI deployment due to concerns of privacy,transparency, and measurement of outcomes. A conceptual model that is effective and addressesthe concerns should be underpinned by guidelines such as ISO/EIC 42001, OECD, UNESCO,IEEE P7001, and NIST AI RMF 2023 promote transparency, integrity, human oversight, androbustness of AI systems in learning ecosystems. Implementation of the conceptual frameworkcontributes towards better ethical compliance by integrating ethical oversight, promotes trustwhile reinforcing the adoption of AI within learning environments, and positive culture ofcontinuous improvement.

Figshare
Openalex Percentile: Top 43%
Ethics and Social Impacts of AI
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