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Ethical Governance Framework for Generative AI (GAI) Adoption in Higher Education

Author(s) Bernardo Corona Domínguez, Salvador González Flores
Country Mexico
Abstract This article explores the sudden shift in higher education that was brought about by the generative artificial intelligence (GAI), a technology that is reshaping pedagogical, evaluating, research and administrative spheres. While GAI holds great promise with the benefits of personalized instruction, improved operational efficiency, expanded accessibility, and innovation, at the same time it creates deep ethical concerns that include issues related to academic integrity, systemic bias, lack of transparency, privacy breaches, accountability, and loss of trust and equity. Contemporary universities are therefore under increasing pressure to establish by far rigorous, principled governance systems that prudent directions for the responsible use and deployment of GAI technologies: Based on current scholarship, the forth study provides a critical examination of some of the key ethical dilemmas, institutional responses, and issues of governance paradigms that have transpired in the intersection of GAI integration ostracism in academic settings. Using the literature review methodology in the form of narrative, analysis can synthesize an existing scholarly discourse and identify key governors dimension(s) necessary for responsible implementation. The results suggest that ethical governance needs to move beyond ad hoc rules focused on academic malpractices and instead adopt a broad institutional model based on transparency, accountability, fairness, privacy, human oversight and constant refining of policies. In response to this, a pragmatic ethical governance structure organized around institutional leadership, policy formulation, conscientious procurement, stakeholder engagement, assessment reform, capacity development, monitoring mechanism, and iterative evaluation is proposed in the article. It concludes that the practice of proactive governance is essential in ensuring the alignment of technological innovativeness with the fundamental values of education as well as human dignity ensuring that GAI can help enhance the educational quality and at the same time protect the trust and inclusion while maintaining its integrity and institutional credibility.
Keywords Generative artificial intelligence, higher education, ethical governance, academic integrity, institutional policy, responsible AI adoption.
Published In Volume 17, Issue 3, Array 2026
Published On 2026-03-27
Cite This Ethical Governance Framework for Generative AI (GAI) Adoption in Higher Education - Bernardo Corona Domínguez, Salvador González Flores - IJTAS Volume 17, Issue 3, Array 2026. DOI 10.71097/IJTAS.v17.i3.1229
DOI https://doi.org/10.71097/IJTAS.v17.i3.1229
Short DOI https://doi.org/hbtzzw
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