A Framework for Responsible AI in Higher Education

Hatice Bilgin

doi:10.55993/hegp.1788343

A Framework for Responsible AI in Higher Education

Abstract

The rapid integration of Artificial Intelligence (AI) into higher education presents transformative opportunities alongside significant ethical challenges. While AI promises to enhance personalized learning, streamline administration, and improve evaluations, its implementation necessitates critical examination of its ethical implications. This article delves into the multifaceted ethical dimensions of AI use in higher education, exploring key concerns related to academic integrity, data privacy in personalized learning systems, equity and access, fairness in AI-driven evaluation, and the impact on both faculty employment and student employability. Drawing upon ethical theories (deontology, utilitarianism, virtue ethics) and pedagogical considerations, it identifies risks such as the blurring lines of cheating, algorithmic bias, data misuse, and the potential devaluation of human interaction and critical skills. To navigate these complexities, the article proposes the Ethical and Pedagogical Framework for Responsible AI in Higher Education (EPF-AI), offering principles grounded in (1) transparency and accountability, (2) equity and inclusion, (3) human-centered learning, and (4) continuous ethical reflection. Ultimately, this article aims to provide higher education stakeholders with a nuanced understanding and actionable guidance for the responsible, equitable, and human-centered integration of AI into academic practice.

Keywords

Supporting Institution

No funding was received from any institution or organization for this study.

Ethical Statement

Ethics approval was not required for this study as it relied exclusively on existing published materials and did not involve primary data collection from human subjects.

Thanks

Acknowledgement: During manuscript preparation, the author employed free-tier versions of AI-powered language tools, including ChatGPT, Gemini, and Claude, to enhance readability and linguistic clarity. All AI-generated suggestions were critically reviewed and revised as necessary, with the author retaining full responsibility for the final content.

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Details

Primary Language

English

Subjects

Higher Education Policies, Higher Education Management

Journal Section

Review Article

Authors

Hatice Bilgin ^*
0000-0003-0020-2051
Türkiye

Publication Date

December 31, 2025

Submission Date

September 21, 2025

Acceptance Date

December 7, 2025

Published in Issue

Year 2025 Volume: 6 Number: 2

DOI

https://doi.org/10.55993/hegp.1788343

IZ

https://izlik.org/JA56CK75UG

Cite

RIS / Bibtex

APA

Bilgin, H. (2025). A Framework for Responsible AI in Higher Education. Higher Education Governance and Policy, 6(2), 155-174. https://doi.org/10.55993/hegp.1788343

AMA

1.Bilgin H. A Framework for Responsible AI in Higher Education. HEGP. 2025;6(2):155-174. doi:10.55993/hegp.1788343

Chicago

Bilgin, Hatice. 2025. “A Framework for Responsible AI in Higher Education”. Higher Education Governance and Policy 6 (2): 155-74. https://doi.org/10.55993/hegp.1788343.

EndNote

Bilgin H (December 1, 2025) A Framework for Responsible AI in Higher Education. Higher Education Governance and Policy 6 2 155–174.

IEEE

[1]H. Bilgin, “A Framework for Responsible AI in Higher Education”, HEGP, vol. 6, no. 2, pp. 155–174, Dec. 2025, doi: 10.55993/hegp.1788343.

ISNAD

Bilgin, Hatice. “A Framework for Responsible AI in Higher Education”. Higher Education Governance and Policy 6/2 (December 1, 2025): 155-174. https://doi.org/10.55993/hegp.1788343.

JAMA

1.Bilgin H. A Framework for Responsible AI in Higher Education. HEGP. 2025;6:155–174.

MLA

Bilgin, Hatice. “A Framework for Responsible AI in Higher Education”. Higher Education Governance and Policy, vol. 6, no. 2, Dec. 2025, pp. 155-74, doi:10.55993/hegp.1788343.

Vancouver

1.Hatice Bilgin. A Framework for Responsible AI in Higher Education. HEGP. 2025 Dec. 1;6(2):155-74. doi:10.55993/hegp.1788343