Maimela Charles, Mbonde Palesa
Faculty of Law, University of Pretoria, Pretoria, South Africa.
Front Sociol. 2025 Jul 8;10:1543471. doi: 10.3389/fsoc.2025.1543471. eCollection 2025.
The integration of Artificial Intelligence (AI) in South African universities presents both opportunities and challenges, particularly within the context of curriculum transformation and decolonisation. This paper critically examines the relevance of AI in relation to the #FeesMustFall movement, which advocates for equitable access to education, and explores how these themes intersect with decolonisation efforts in South Africa. Although AI technologies promise advantages like tailored learning experiences, improved administrative processes, and enhanced research capabilities, they also present issues related to epistemic bias, digital disparities, and the reinforcement of Western-centric knowledge systems. Grounded in empirical research, this study investigates whether AI serves as an aid or an obstacle in South African higher education, with a specific focus on Historically White Universities (HWUs) and Historically Black Universities (HBUs). Using the Diffusion of Innovation (DOI) theory as a framework, the research explores disparities in AI adoption across institutions, analysing infrastructural constraints, policy gaps, and the broader implications of AI for knowledge production. The findings reveal that while HWUs have made significant strides in AI integration due to better funding and international collaborations, HBUs continue to face systemic barriers that hinder equitable access to AI-driven learning tools. Moreover, AI's reliance on Western datasets and epistemologies risks perpetuating digital colonialism, complicating ongoing efforts to decolonise the curriculum. This paper underlines the urgent need for Afrocentric AI models that align with local contexts and values, inclusive policy frameworks that address the needs highlighted by #FeesMustFall, and targeted investments in digital infrastructure. By doing so, it aims to ensure that AI contributes meaningfully to higher education curriculum transformation and decolonisation in South Africa.
人工智能(AI)在南非大学中的整合既带来了机遇,也带来了挑战,尤其是在课程变革和去殖民化的背景下。本文批判性地审视了人工智能与#学费必须降运动的相关性,该运动倡导公平获取教育,并探讨了这些主题如何与南非的去殖民化努力相互交织。尽管人工智能技术有望带来诸如量身定制的学习体验、改进行政流程和增强研究能力等优势,但它们也带来了与认知偏见、数字差距以及以西方为中心的知识体系强化相关的问题。基于实证研究,本研究调查了人工智能在南非高等教育中是助力还是障碍,特别关注历史悠久的白人大学(HWUs)和历史悠久的黑人大学(HBUs)。以创新扩散(DOI)理论为框架,该研究探讨了各机构在人工智能采用方面的差异,分析了基础设施限制、政策差距以及人工智能对知识生产的更广泛影响。研究结果表明,虽然由于资金更充足和国际合作,历史悠久的白人大学在人工智能整合方面取得了重大进展,但历史悠久的黑人大学继续面临系统性障碍,阻碍了公平获取人工智能驱动的学习工具。此外,人工智能对西方数据集和认识论的依赖有延续数字殖民主义的风险,使正在进行的课程去殖民化努力变得复杂。本文强调迫切需要符合当地背景和价值观的以非洲为中心的人工智能模型、解决#学费必须降所强调需求的包容性政策框架,以及对数字基础设施的有针对性投资。通过这样做,其旨在确保人工智能对南非高等教育课程变革和去殖民化做出有意义的贡献。