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The Restrictive Impact of Foreign Aid on Education, Healthcare, and Economic Growth: Exploring the Pragmatic Benefits of Artificial Intelligence

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  • Bongs Lainjo

Abstract

Foreign aid is often used to finance the third world’s education, health, and microenterprise programs. However, when it is put into practice, it has led to relevant dependence, cost inefficiency, and a lack of attention on local agendas. Conversely, AI is a responsible, culture-sensitive, and scalable approach to traditional aid modalities. This paper then discusses the flaws of foreign aid and calls for using AI as a sustainable solution to meet development goals in education, health, and economic growth. This work employed case studies and cross-sectional studies of AI utilization in different countries to emancipate its capability to assist communities, enhance independence, and push forward the United Nations Sustainable Development Goals (UN-SDGs). In particular, the results highlight the orientation to ethical, inclusion, and partnership approaches to ensure AI’s favorable developmental impact.

Suggested Citation

  • Bongs Lainjo, 2025. "The Restrictive Impact of Foreign Aid on Education, Healthcare, and Economic Growth: Exploring the Pragmatic Benefits of Artificial Intelligence," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 15(1), pages 1-36, June.
    • Handle: RePEc:ibn:jmsjnl:v:15:y:2025:i:1:p:36
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    References listed on IDEAS

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    1. Carlos Lopes, 2024. "The Disappointing Discussion About Aid Effectiveness," Springer Books, in: The Self-Deception Trap, chapter 0, pages 39-57, Springer.
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      JEL classification:

      • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
      • Z0 - Other Special Topics - - General

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