Abstract
With the rapid uptake of artificial intelligence (AI) in higher education, academic risks need to be viewed as not only technical issues but as socio-institutional harms that impact equity, trust, and accountability. The methodology used for this study is a conceptual literature review and qualitative synthesis of existing academic research. This study tackles the problem existing in the literature, which is unstructured definitions, by synthesizing the literature to create a complete conceptual framework for Social Risk Management (SRM). The proposed framework places SRM in a unique role, serving as the institutional interface between the introduction of AI and social outcomes, with the role of a mediator and moderator between the raw technical inputs and the negative effects of AI on society. There are four main operational pillars of SRM identified in the synthesis. This study also adds the competency of SRM as a core competency of governance, not only for its ethical dimension but also for being a proactive competency. Moreover, it offers a clear research program for future empirical studies, detailing potential ways to measure SRM and to investigate its differences in various application areas of universities, such as admissions, financial aid, tutoring, and even assessment.
Keywords
- Social Risk Management Search this journal for Social Risk Management (opens in a new tab)
- Artificial Intelligence Search this journal for Artificial Intelligence (opens in a new tab)
- Higher Education Search this journal for Higher Education (opens in a new tab)
- Institutional Governance Search this journal for Institutional Governance (opens in a new tab)
- Conceptual Framework Search this journal for Conceptual Framework (opens in a new tab)
References
- Abd Malik, H. A., Azmi, N., & Tajul Arifin, S. A. (2024). Factors influencing Malaysian university students' perceptions of artificial intelligence adoption in mathematics disciplines (Unpublished student project). Universiti Teknologi MARA Institutional Repository. https://ir.uitm.edu.my/id/eprint/94882
- Akhtar, I. (2024). Artificial intelligence in higher education: Mitigating risks, embracing opportunities, and shaping the future. Kardan Journal of Engineering and Technology, 6(1), 1–13. https://doi.org/10.31841/KJET.2024.35 DOI: https://doi.org/10.31841/KJET.2024.35
- Aper, J. P. (2024). Artificial intelligence and higher education: A brave new world? Journal of Educational Thought / Revue de la Pensée Éducative, 57(1), 3–30. https://doi.org/10.55016/ojs/jet.v57i1.79412 DOI: https://doi.org/10.55016/ojs/jet.v57i1.79412
- Babić, J. Z., & Matović, S. M. (2025). Risk assessment of using artificial intelligence in education. Sociološki Pregled [Sociological Review], 59(2), 610–634. https://doi.org/10.5937/socpreg59-57266 DOI: https://doi.org/10.5937/socpreg59-57266
- Jamaluddin, F., Jamaluddin, A. H., Jamaluddin, F., & Jamaluddin, F. (2025). Malaysia's AI-driven education landscape: Policies, applications, and comparative insights for a digital future (arXiv Preprint arXiv:2509.21858). arXiv. https://arxiv.org/abs/2509.21858v1
- Kifaru, F. R. (2026). Artificial intelligence tools in education systems: A structured review of applications, challenges, and implications. Security Science Journal, 7(1), 162–186. https://doi.org/10.37458/ssj.7.1.8 DOI: https://doi.org/10.37458/ssj.7.1.8
- Ladyzhets, N. S. (2023). Social aspects of managing risks and opportunities for advanced development of neural networks. Bulletin of Udmurt University: Sociology, Political Science, International Relations, 7(2), 189–197. https://doi.org/10.35634/2587-9030-2023-7-2-189-197 DOI: https://doi.org/10.35634/2587-9030-2023-7-2-189-197
- Ladyzhets, N. S. (2024). Hybrid sociality: Socio-humanitarian aspects of the impact of artificial intelligence achievements on the development of higher education. Bulletin of Udmurt University: Sociology, Political Science, International Relations, 8(1), 42–48. https://doi.org/10.35634/2587-9030-2024-8-1-42-48 DOI: https://doi.org/10.35634/2587-9030-2024-8-1-42-48
- Malynoshevskyi, R. (2023). Artificial intelligence (AI) and policies of social risk mitigation: The educational context. Theoretical and Methodical Problems of Children and Youth Education, 27(2), 25–37. https://doi.org/10.32405/2308-3778-2023-27-2-25-37 DOI: https://doi.org/10.32405/2308-3778-2023-27-2-25-37
- Mohamad Mozie, N., Ghazali, N., & Ali Husin, L. I. (2025). Adopting artificial intelligence in higher education: Insights from the UTAUT framework on students' intentions. Advances in Business Research International Journal, 11(1), 71–79. https://doi.org/10.24191/abrij.v11i1.8641 DOI: https://doi.org/10.24191/abrij.v11i1.8641
- Nagy, A. S., Tumiwa, J. R., Arie, F. V., & Erdey, L. (2024). An exploratory study of artificial intelligence adoption in higher education. Cogent Education, 11(1), Article 2386892, 1–15. https://doi.org/10.1080/2331186X.2024.2386892 DOI: https://doi.org/10.1080/2331186X.2024.2386892
- Radzhabov, O. R., Zheligotova, R. M., & Vazkaeva, S. (2026). Socio-economic risks and limitations of implementing artificial intelligence in the educational process. Ekonomika i Upravlenie: Problemy, Resheniya, 5(5), 112–119. https://doi.org/10.36871/ek.up.p.r.2026.02.05.020 DOI: https://doi.org/10.36871/ek.up.p.r.2026.02.05.020
- Schaeffer, D., Coombs, L., Luckett, J., Marin, M., & Olson, P. C. (2024). Risks of AI applications used in higher education. Electronic Journal of e-Learning, 22(6), 60–65. https://doi.org/10.34190/ejel.22.6.3457 DOI: https://doi.org/10.34190/ejel.22.6.3457
- Shahnazaryan, N. H., & Shahnazaryan, G. H. (2024). Human capital management in the context of artificial intelligence. Region and the World, 15(1), 78–83. https://doi.org/10.58587/18292437-2024.1-78 DOI: https://doi.org/10.58587/18292437-2024.1-78
- Tomakova, R. A., & Tomakov, V. I. (2026). Artificial intelligence in higher education: Awareness of risks. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering, 16(1), 8–37. DOI: https://doi.org/10.21869/2223-1536-2026-16-1-8-37
- Vasoya, N. H. (2023). The role of parents and educators in managing the risks of artificial intelligence. Asian Journal of Education and Social Studies, 41(4), 1–5. https://doi.org/10.9734/ajess/2023/v41i4899 DOI: https://doi.org/10.9734/ajess/2023/v41i4899
- Vidrevich, M. B., Pervukhina, I. V., & Turovskaya, M. S. (2026). Innovations in higher education: Risks of using artificial intelligence tools. Digital Models and Solutions, 5(1), 44–51. https://doi.org/10.29141/2949-477X-2026-5-1-4 DOI: https://doi.org/10.29141/2949-477X-2025-4-4-2
- Zou, W., & Wang, Z. (2026). Artificial intelligence-enabled digital governance in higher education: Operating mechanisms, risk boundaries, and an adaptive governance framework. World Journal of Educational Studies, 4(7), 62–71. https://doi.org/10.55010/wjes-04-07-06 DOI: https://doi.org/10.61784/wjes3183
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Copyright (c) 2026 Rosmi Yuhasni Mohamed Yusuf (Corresponding Author); Muhammad Hafiz Yaakub, Rizal Zakaria (Author)
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Keywords
- Social Risk Management Search this journal for Social Risk Management (opens in a new tab)
- Artificial Intelligence Search this journal for Artificial Intelligence (opens in a new tab)
- Higher Education Search this journal for Higher Education (opens in a new tab)
- Institutional Governance Search this journal for Institutional Governance (opens in a new tab)
- Conceptual Framework Search this journal for Conceptual Framework (opens in a new tab)
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Vol. 18 No. 4(I) (2026)
Inclusive Workplaces, Digital Learning & Enterprise Resilience
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