Responsible Artificial Intelligence Governance in Academic Management in Vietnamese Higher Education Today

The rapid development of artificial intelligence (AI) is reshaping the ways in which higher education institutions organize, operate, and deliver academic services. In academic management, AI not only supports the automation of academic administration processes, academic advising, early-warning systems, learner data analytics, and decision support, but also raises new issues related to data, trust, transparency, accountability, and learners’ rights. Drawing on data-driven university governance, learner-centered approaches, and the principles of responsible AI, this article clarifies the content of responsible AI governance in higher education academic management; identifies the governance risks that arise when AI is applied to academic management processes; and, on that basis, proposes principles and a responsible AI governance model appropriate to the current context of Vietnamese higher education. Keywords: artificial intelligence; responsible AI; academic management; university governance; learner data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23683253
Primary Topic
Artificial Intelligence in Education
Type
article
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Responsible Artificial Intelligence Governance in Academic Management in Vietnamese Higher Education Today

Bui Thi Nha Phuong, Nguyen Ngoc Nam
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Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Education
article

Responsible Artificial Intelligence Governance in Academic Management in Vietnamese Higher Education Today

Bui Thi Nha Phuong, Nguyen Ngoc Nam
article en

Abstract

The rapid development of artificial intelligence (AI) is reshaping the ways in which higher education institutions organize, operate, and deliver academic services. In academic management, AI not only supports the automation of academic administration processes, academic advising, early-warning systems, learner data analytics, and decision support, but also raises new issues related to data, trust, transparency, accountability, and learners’ rights. Drawing on data-driven university governance, learner-centered approaches, and the principles of responsible AI, this article clarifies the content of responsible AI governance in higher education academic management; identifies the governance risks that arise when AI is applied to academic management processes; and, on that basis, proposes principles and a responsible AI governance model appropriate to the current context of Vietnamese higher education. Keywords: artificial intelligence; responsible AI; academic management; university governance; learner data.

Zenodo (CERN European Organization for Nuclear Research)
Quality education
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Artificial Intelligence in Education
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Responsible Artificial Intelligence Governance in Academic Management in Vietnamese Higher Education Today — Bui Thi Nha Phuong, Nguyen Ngoc Nam · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS