From innovation to inclusion: Advancing equity through AI policy and governance in South African higher education
Abstract
As artificial intelligence (AI) becomes increasingly embedded in higher education, empirical evidence on how institutional governance shapes its equitable and responsible implementation in South African universities remains limited. This study examined how institutional policies and governance practices influence the implementation and equitable use of AI in undergraduate education while contributing to international discourse on responsible AI governance. Guided by an interpretivist research paradigm, the study adopted a qualitative approach and employed a single-case study design within one public university in South Africa. Participants comprised university leaders, academic staff, professional support staff, and undergraduate students involved in or affected by AI governance and implementation. Data were collected through semi-structured interviews, focus group discussions, and document analysis and analysed using thematic analysis supported by inductive coding. The findings indicate that limited policy transparency, context-insensitive governance frameworks, unequal access to AI technologies, and weak institutional accountability can reinforce educational inequalities, particularly among first-generation and under-resourced students. Conversely, participatory governance, transparent decision-making, stakeholder engagement, and enhanced digital literacy promote more equitable and responsible AI implementation. The study proposes a multi-level governance model integrating institutional policy, stakeholder participation, and pedagogical practice to strengthen equitable AI adoption. It concludes that higher education institutions should develop context-sensitive AI governance frameworks, strengthen institutional capacity, and expand equitable access to AI technologies to advance fairness, inclusion, and responsible AI implementation.
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References
- Abulail, R. N., Badran, O. N., Shkoukani, M. A., & Omeish, F. (2025). Exploring the Factors Influencing AI Adoption Intentions in Higher Education: An Integrated Model of DOI, TOE, and TAM. Computers, 14(6), 230. https://doi.org/10.3390/computers14060230
- Ahluwalia, P. S. (2025). Algorithmic Bias and Social Stratification: How AI Shapes Inequality in Digital Societies. Siddhanta's International Journal of Advanced Research in Arts & Humanities, 28–37. https://sijarah.com/index.php/sijarah/article/view/173
- Ahmed, S., Awan, D., Adil, M., & Ahmad, A. (2025). Ethics and Transparency in AI, Transparency, and Accountability in Higher Education. Social Science Review Archives, 3(4), 2729–2741. https://doi.org/10.70670/sra.v3i4.1371
- Ahrweiler, P., Späth, E., Siqueiros García, J. M., Capellas, B. L., Wurster, D. (2025). Inclusive Technology Co-design for Participatory AI. In Ahrweiler, P. (Eds.) Participatory Artificial Intelligence in Public Social Services. Artificial Intelligence, Simulation and Society. Springer, Cham. https://doi.org/10.1007/978-3-031-71678-2_2
- Apelehin, A. A., Imohiosen, C. E., Ajuluchukwu, P., Abutu, D. E., Udeh, C. A., & Iguma, D. R. (2025). Assessment and evaluation for social improvement in education: Strategies for equity and fairness. International Journal of Social Science Exceptional Research, 4(1), 119–125. https://doi.org/10.54660/IJSSER.2025.4.1.119-125
- Assefa, E. A. (2025). AI and the digital divide in ensuring educational access andmulticultural inclusivity. Journal of Information, Communication and Ethics in Society, 24(2), 298–316. https://doi.org/10.1108/JICES-05-2025-0125
- Attard-Frost, B., & Lyons, K. (2025). AI governance systems: A multi-scale analysis framework, empirical findings, and future directions. AI and Ethics, 5(3), 2557–2604. https://doi.org/10.1007/s43681-024-00569-5
- Bertram, T., Pascal, C., Lyndon, H., Formosinho, J., Gaywood, D., Gray, C., ... & Whalley, M. (2025). EECERA ethical code for early childhood researchers. European Early Childhood Education Research Journal, 33(1), 4–18. https://doi.org/10.1080/1350293X.2024.2445361
- Boateng, O., & Boateng, B. (2025). Algorithmic bias in educational systems: Examining the impact of AI-driven decision making in modern education. World Journal of Advanced Research and Reviews, 25(1), 2012-2017. https://doi.org/10.30574/wjarr.2025.25.1.0253
- Bosio, E., & de Wit, H. (2025). Fostering service to society, inclusion, and equity through global citizenship education: A conversation with Hans de Wit. Prospects, 55, 5–15. https://doi.org/10.1007/s11125-024-09695-8
- Bratton, B. H., Greenspan, A., Ireland, A., & Konior, B. (Eds.). (2026). Machine Decision Is Not Final: China and the History and Future of Artificial Intelligence. MIT Press.
- Cabanillas-García, J. L. (2025). International Trends and Influencing Factors in the Integration of Artificial Intelligence in Education with the Application of Qualitative Methods. Informatics, 12(3), 61. https://doi.org/10.3390/informatics12030061
- Daher, R. (2025). Integrating AI literacy into teacher education: a critical perspective paper. Discover Artificial Intelligence, 5(1), 217. https://doi.org/10.1007/s44163-025-00475-7
- Dai, S. C. (2025). Conceptualizing Digital Democracy: A Policy‐Oriented Approach Through Computational Text Analysis. Policy & Internet, 17(4), e70022. https://doi.org/10.1002/poi3.70022
- Elayah, M. (2025). The Empty State: Governing the Voids in a Projected Conflict-Torn Yemen. Politics & Policy, 53(5), e70088. https://doi.org/10.1111/polp.70088
- Hakimi, M., Zarinkhail, S., & Sahnosh, F. A. (2025). Artificial intelligence and legal reform in developing countries: Advancing ethical, rights-based, and accountable digital governance. Telsinas, 8(2), 127–144. https://doi.org/10.38043/telsinas.v8i2.6934
- Hammerschmidt, T., Stolz, K., & Posegga, O. (2025). Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI. Behaviour & Information Technology, 1–30. https://doi.org/10.1080/0144929X.2025.2500451
- Judijanto, L. (2025). Beyond Access: Cultural, Ethical, and Infrastructural Challenges of AI in Marginalised Education Contexts. European Journal of Contemporary Education and E-Learning, 3(6), 83-98. https://doi.org/10.59324/ejceel.2025.3(6).07
- Khan, S., Mazhar, T., Shahzad, T., Khan, M. A., Rehman, A. U., Saeed, M. M., & Hamam, H. (2025). Harnessing AI for sustainable higher education: Ethical considerations, operational efficiency, and future directions. Discover Sustainability, 6(1), 23. https://doi.org/10.1007/s43621-025-00809-6
- Khodabin, M., & Arsalani, A. (2025). Artificial Intelligence Literacy as National Strategy: A Systematic Review of Policy, Equity, and Capacity Building across the Global South. Journal of World Sociopolitical Studies, 9(4). https://doi.org/10.1016/j.cesys.2025.100340
- Lampou, R., Noor, M., Vivekanantharasa, R., & Patnaik, S. (2026). AI–driven educational ecosystems: Integrating learning analytics, adaptive assessment, and intelligent feedback for sustainable student performance. Qubahan Techno Journal, 5(1), 25–36. https://doi.org/10.48161/qtj.v5n1a80
- Li, C. (2026). A policy grammar for algorithmic governance: Responsibility, boundaries, and instruments. Journal of Algorithmic Governance & Policy, 1(1), 1-18. https://doi.org/10.6914/jagp.010101
- Lockwood, A. B., & Brown, J. (2025). Mitigating AI Bias in School Psychology: Toward Equitable and Ethical Implementation. School Psychology Review, 53(1), 1–13. https://doi.org/10.1080/2372966X.2025.2529148
- Maheshwari, N., Mohan, G., & Mishra, D. (2025). Digital transformation in governance: Preconditions for achieving good governance. Public Policy and Administration. https://doi.org/10.1177/09520767251355715
- Maimela, C., & Mbonde, P. (2025). Artificial intelligence in South African universities: curriculum transformation and decolonisation aid or obstacle?. Frontier Sociology. 10, 1543471. https://doi.org/10.3389/fsoc.2025.1543471
- Maluleke, A. F. (2025). AI adoption in African higher education: A systematic review of benefits and ethical implications. Interdisciplinary Journal of Education Research, 7(2), a05-a05. https://doi.org/10.38140/ijer-2025.vol7.2.05
- Muh H. (2025). Digital Governance and the Right to Privacy: A Comparative Analysis of AI Regulation in Southeast Asia and the European Union. Journal of Law, Policy and Global Development, 1(1), 19–35. https://doi.org/10.71305/jlpgd.v1i1.333
- Onunga, J. (2025). From Readiness to Maturity: Institutional Pathways for Responsible AI Transformation in Africa. The Journal of Digital Transformation in Africa, 1(1), 28–39.
- Parinsi, W. K., Musa, A. D. L., & Musa, K. S. P. (2025). Ethical Use of AI in Continuous Recruitment: An Analysis of Algorithm Bias towards Candidates from Marginalized Backgrounds. Journal Management & Economics Review, 2(7), 215–220.
- Pedraja-Rejas, L., Rodríguez-Ponce, E., & Rojas-Miranda, P. (2025). The Impact of Organisational Learning on Innovation and Institutional Performance in Universities: A Narrative Review. Systems, 13(9), 743. https://doi.org/10.3390/systems13090743
- Peña-García, P., Jaime-de-Aza, M., & Feltrero, R. (2026). Dialogic Reflection and Algorithmic Bias: Pathways Toward Inclusive AI in Education. Trends in Higher Education, 5(1), 9. https://doi.org/10.3390/higheredu5010009
- Peng, S., Li, Y., & Zhou, Y. (2025). How digital economy empowers rural women’s non-agricultural employment in China: an explanation based on socio-technical systems theory. Applied Economics, 1–18. https://doi.org/10.1080/00036846.2025.2584709
- Rasheed, T., Bashir, A., Hanif, S., & Gul, H. (2025). Leveraging AI to mitigate educational inequality: Personalized learning resources, accessibility, and student outcomes. The Critical Review of Social Sciences Studies, 3(1), 2399–2412. https://doi.org/10.59075/j4959m50
- Sangwa, S. (2025). Navigating the algorithmic turn: A dynamic governance framework for ethical and equitable AI integration in education. SSRN Electronic Journal, 1(2), 1-17. https://doi.org/10.2139/ssrn.5283522
- Schiff, D. S. (2025). Strategies for Harmonizing Fragmented AI Ethics Frameworks, Standards, and Regulations. In Handbook of Human-Centered Artificial Intelligence (pp. 1–45). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-97-8440-0_82-1
- Şen, E., Vaněček, D., & Adnan, M. (2026). Balancing regulation and innovation: the need for agile AI governance in higher education: A cross-country study. Studies in Higher Education, 1–18. https://doi.org/10.1080/03075079.2026.2614986
- Shabalala, N. P., & Photo, P. (2025). Global Citizenship Education: a strategic framework for G20 solutions to economic challenges and the 2030 Sustainable Development Goals. Journal of Global Responsibility, 17(3), 597–620. https://doi.org/10.1108/JGR-03-2025-0054
- Sharma, A., Gurram, N. T., Rawal, R., Mamidi, P. L., & Gupta, A. S. G. (2025). Enhancing educational outcomes through cloud computing and data-Driven Management Systems. (2025). Vascular and Endovascular Review, 8(11s), 429–435. https://verjournal.com/index.php/ver/article/view/901
- Shejale, S., Zhan, M. X., Sahakian, M., Aleksieva, R., Biresselioglu, M. E., Bogdanova, V., ... & Schibel, K. L. (2025). Participation as a pathway to procedural justice: A review of energy initiatives across eight European countries. Energy Research & Social Science, 122, 103982. https://doi.org/10.1016/j.erss.2025.103982
- Shilo, G., Mor, N., Hadad-Aviran, G., Bar Gosen, N., & Levin, L. (2026). Pioneering LGBT Social Work: The Formation of a New Role Through Practice in Institutional Contexts. Journal of Homosexuality, 1–24. https://doi.org/10.1080/00918369.2025.2610506
- Singun, A. J. (2025). Unveiling the barriers to digital transformation in higher education institutions: a systematic literature review. Discover Education, 4(1), 37. https://doi.org/10.1007/s44217-025-00430-9
- Sundaram, A., & Wesselbaum, D. (2025). Economic development reloaded: the AI revolution in developing nations. New Zealand Economic Papers, 59(1), 11–17. https://doi.org/10.1080/00779954.2024.2439955
- Tsabary, E., & Hewitt, D. (2025). How Assignment Deadlines and Guidelines Shape Creativity, Motivation, and Quality: Perspectives from Music-Technology Students. Thinking Skills and Creativity, 102073. https://doi.org/10.1016/j.tsc.2025.102073
- Tsao, J. (2025). Trajectories of AI policy in higher education: Interpretations, discourses, and enactments of students and teachers. Computers and Education: Artificial Intelligence, 9, 100496. https://doi.org/10.1016/j.caeai.2025.100496
- Wongmahesak, K., Karim, F., & Wongchestha, N. (2025). Artificial intelligence: a catalyst for sustainable effectiveness in compulsory education management. Asian Education and Learning Review, 3(1), 4–4.
- Yan, L., Suleman Abdullah Alwabel, A., & Mohamad, U. H. (2025). AI‐Powered Education: Transforming Teacher‐Student Interactions and Advancing Sustainable Learning Practices. European Journal of Education, 60(4), e70351. https://doi.org/10.1111/ejed.70351
- Yang, C., & Lu, X. (2026). Educational pathways for enhancing algorithmic transparency: a discussion based on the phenomenological reduction method. AI & Society, 41(1), 151-164. https://doi.org/10.1007/s00146-025-02475-8
- Yannis, C., Gerasimos, K. (2026). Rule-Based AI Systems for Public Governance. A Framework for Smarter, Transparent, and Citizen-Centered Governance. In Aikins, S. K., Dimitrijevska-Markoski, T. (eds) Artificial Intelligence and Government. Springer, Cham. https://doi.org/10.1007/978-3-032-12344-2_4
- You, Z., Wang, Y., & Xiao, Y. (2025). Analysing the suitability of artificial intelligence in healthcare and the role of AI governance. Health Care Analysis, 33(4), 413-445. https://doi.org/10.1007/s10728-025-00514-5