article · Journal of Engineering Research and Reports
Artificial intelligence and automation hold substantial potential to narrow the digital divide across developing nations by enhancing accessibility and efficiency. In education, these tools support personalised learning experiences, whilst in healthcare they improve diagnostic processes and patient care. Within agriculture, the technologies increase productivity through precision farming practices, and within broader economies, they stimulate growth by generating jobs and expanding market access. However, real-world deployment encounters significant hurdles, notably inadequate infrastructure, substantial skills shortages, cultural resistance, and restrictive policy frameworks. Investigating these dynamics across multiple developing regions using quantitative analysis and qualitative case studies demonstrates that achieving social and economic gains requires addressing these structural limitations. Overcoming these barriers relies on coordinated collaboration and context-sensitive technology governance involving policymakers, non-governmental organisations, and private sector enterprises working to deploy practical technical interventions.
Emerging technologies like automation and artificial intelligence can boost living standards, but their benefits often fail to reach developing regions. Understanding the exact sectors where these tools assist, alongside the real-world obstacles impeding them, allows international organisations, governments, and businesses to direct resources effectively, ensuring technology deployment reduces rather than widens existing socioeconomic inequalities.
The research outlines commercial applications in precision farming tools, diagnostic healthcare systems, and personalised educational software targeted at developing markets. Prospective users include agricultural enterprises, healthcare providers, educational institutions, and private technology vendors. However, widespread uptake remains constrained at an early to intermediate stage due to severe infrastructure deficits, regulatory constraints, and skills shortages that demand cross-sector partnerships before sustained commercial rollouts can succeed.
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This research paper explores the potential of artificial intelligence (AI) and automation to reduce the digital divide in developing countries. The study investigates how these technologies can enhance accessibility and efficiency in critical sectors such as education, healthcare, agriculture, and economic development, thereby contributing to social and economic progress. Key findings indicate that AI and automation can significantly improve educational outcomes by providing personalized learning experiences, enhancing healthcare delivery through better diagnostics and patient care, increasing agricultural productivity with precision farming, and stimulating economic growth by creating new job opportunities and improving market access. However, deploying these technologies faces substantial challenges, including inadequate infrastructure, significant skills gaps, cultural resistance, and policy constraints. The research adopts a mixed-methods approach, combining quantitative data analysis with qualitative case studies to comprehensively understand the impacts and challenges associated with implementing AI and automation in less developed regions. The scope of the study spans several developing countries, offering insights relevant to policymakers, NGOs, and the private sector engaged in technology deployment for development. The paper underscores the necessity for a collaborative approach to overcome the identified barriers and suggests strategic recommendations for stakeholders to leverage AI and automation as practical tools for closing the digital divide. This study contributes to the broader discourse on technology’s role in global development, highlighting both the transformative potential of AI and automation and the critical need for inclusive and context-sensitive technology governance.
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DOI: 10.9734/jerr/2024/v26i61170
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