The Impact of Artificial Intelligence on Ghanaian Health Worker Training: Opportunities, Challenges, and Ethical Considerations

Abstract

Artificial intelligence (AI) integration within Ghana’s health workforce training programs shows immense potential to enhance quality, consistency and personalization if thoughtfully implemented. This mixed methods SWOT analysis evaluates major strengths like expanded accessibility, weaknesses around connectivity barriers and literacy, opportunities in simulation training, and threats of job automation requiring ethical change management. Ghanaian case studies and policy documents inform targeted opportunities to employ context-appropriate design, creative financing partnerships and participatory principles upholding equity. Risks of algorithmic bias and data exploitation spotlight needs for transparent auditing, consent safeguards and democratized oversight. Recommended actions integrate precedents in change leadership, human-centered AI adoption and African innovation prioritization to pragmatically advance both cutting edge advancement and human dignity. With Ghana pioneering amongst first nations globally to release a national AI strategy, demonstration of such balanced governance can model pathways for technological innovation upholding empowerment across sectors and regions. This multidimensional analytical evaluation contributes uniquely inclusive, grounded perspectives to advance conceptual clarity and practical guidance around AI assimilation - directing focus toward preparatory investments, policy formulation, partnership building and design choices required to ensure gains outpacing grievances along ongoing modernization trajectories.