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Policy Development for Responsible and Ethical Integration of GAI in Higher Education

Author(s) Bernardo Corona Domínguez, Salvador González Flores
Country Mexico
Abstract Generative artificial intelligence (GAI) is rapidly reshaping higher education by influencing teaching, learning, research, student support, and institutional administration. While GAI offers opportunities for personalization, efficiency, accessibility, and innovation, its integration also raises serious ethical, social, and governance concerns. These include bias, exclusion, privacy risks, overreliance, opacity, academic integrity challenges, unequal access, and uncertainty regarding accountability. As universities increasingly adopt GAI tools, policy development has become essential for ensuring that integration is responsible, ethical, and aligned with educational values. This article examines policy development for the responsible and ethical integration of GAI in higher education. Using a narrative literature review approach, the study synthesizes recent scholarship on university guidelines, comparative governance frameworks, inclusion, teacher perspectives, human-centered design, and institutional responses to GAI. The review finds that many higher education institutions are still in the early stages of policy maturity, with responses often remaining fragmented, reactive, or narrowly focused on risk control. The findings further show that effective policy development must move beyond prohibition or technical regulation and instead incorporate human-centered governance, inclusion, equity, institutional accountability, pedagogical support, and continuous review. Based on the literature, the article proposes a policy framework built on seven interrelated pillars: institutional governance, ethical principles, inclusive access, pedagogical guidance, data and risk management, stakeholder capacity building, and iterative review mechanisms. The article argues that responsible policy development is central to ensuring that GAI enhances higher education without undermining fairness, trust, autonomy, or the educational mission of universities. It concludes that institutions need proactive, adaptive, and value-driven policies that balance innovation with ethical responsibility.
Keywords Generative artificial intelligence, higher education, policy development, ethical integration, governance, responsible AI.
Published In Volume 17, Issue 3, Array 2026
Published On 2026-03-27
Cite This Policy Development for Responsible and Ethical Integration of GAI in Higher Education - Bernardo Corona Domínguez, Salvador González Flores - IJTAS Volume 17, Issue 3, Array 2026. DOI 10.71097/IJTAS.v17.i3.1230
DOI https://doi.org/10.71097/IJTAS.v17.i3.1230
Short DOI https://doi.org/hbtzzw
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