南非大学的人工智能:课程转型和非殖民化 - 帮助还是障碍?
Charles Maimela1, Palesa Mbonde1
1Faculty of Law, University of Pretoria, Pretoria, South Africa.
Frontiers in sociology
|July 23, 2025
概括
人工智能 (AI) 在南非大学的整合提供了好处,但也带来了挑战. 人工智能工具的公平获取受到数字差距的阻碍,特别是影响历史黑人大学 (HBU) 和非殖民化努力.
科学领域:
- 高等教育研究 高等教育研究
- 人工智能伦理学 人工智能伦理学
- 教育技术的教育技术
背景情况:
- 人工智能 (AI) 在南非大学的整合是一个复杂的问题,与课程转型和非殖民化交叉.
- #FeesMustFall运动强调了平等获得教育的必要性,这是人工智能实施的关键考虑因素.
- 在高等教育中采用人工智能面临挑战,包括认识论偏见和加强以西方为中心的知识系统.
研究的目的:
- 批判性地检查人工智能在南非高等教育中的作用,评估其对课程转型和非殖民化的影响.
- 调查人工智能是否在历史上白人大学 (HWU) 和历史上黑人大学 (HBU) 中起到帮助或障碍作用.
- 探索人工智能,#FeesMustFall运动和南非教育背景下的非殖民化努力的交叉点.
主要方法:
- 实证研究以创新传播 (DOI) 理论为基础.
- 对HWU和HBU之间人工智能采用差异的比较分析.
- 检查基础设施限制,政策缺口和对知识生产的影响.
主要成果:
- 由于更好的资金和国际合作,HWU显示出更大的AI集成.
- HBU面临着系统性障碍,阻碍了对人工智能驱动的学习工具的公平获取.
- 人工智能对西方数据集的依赖可能会使数字殖民主义延续,并使解殖复杂化.
结论:
- 迫切需要以非洲为中心的AI模型,与当地背景和价值观保持一致.
- 需要包括的政策框架来解决#FeesMustFall的需求,并确保公平的AI访问.
- 对数字基础设施的有针对性的投资对于人工智能对课程转型和脱殖民主义的有意义贡献至关重要.
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