GenAI implementation in Global South higher education faces significant barriers including infrastructure, human capital, ethical, policy and contextual challenges¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? The reviewed literature identifies significant barriers to GenAI implementation: infrastructure limitations, human capital deficiencies, ethical concerns, inadequate policy frameworks, and contextual challenges. → Nguyen 2026

Evidence¶

Nguyen 2026¶

Nguyen, T. A., & Perkins, M. (2026). Perceptions Of Generative AI in the Global South: A Scoping Review. Journal of University Teaching and Learning Practice. https://doi.org/10.53761/f22j6648

q2 · i? · review · r2

The review's synthesis of the 75-paper corpus reports that GenAI "implementation faces significant barriers, including infrastructure limitations, human capital deficiencies, ethical concerns, inadequate policy frameworks, and contextual challenges". No effect sizes are reported; this is a qualitative categorisation of barriers.

"but its implementation faces significant barriers, including infrastructure limitations, human capital deficiencies, ethical concerns, inadequate policy frameworks, and contextual challenges"

Discussion¶

Related Claims¶

• GenAI tools are largely Global North products that have spread rapidly worldwide, including into Global South higher education — related
• Ethical, financial, and infrastructural barriers significantly constrain the long-term sustainability of AI-driven educational transformation in higher education — related
• College leaders identify educator unfamiliarity with GenAI, lack of training infrastructure, and institutional unpreparedness as key challenges — a narrower finding that bears on this claim
• Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
• Institutional barriers to AI integration — ethics concerns, insufficient training, policy gaps, and infrastructure limits — are widespread and co-occurring — a narrower finding that bears on this claim
• Qualitative findings identified plagiarism, student overreliance on AI, and a barrier of reconciling institutional policy gaps with personal ethical values — a narrower finding that bears on this claim
• The Global South GenAI literature shows limited geographic representation, stakeholder imbalance, and insufficient exploration of long-term outcomes — related
• GenAI offers transformative possibilities for personalised learning, research support and administrative efficiency in Global South higher education — related
• Multiple trends point to a de-professionalization of teachers in both the North and the South — related