Bridging the Digital Divide: Exploring the Role of Artificial Intelligence and Automation in Enhancing Connectivity in Developing Nations
Amaka Debie Samuel-Okon, Oluwatotan Olaperi Abejide
Journal of Engineering Research and Reports · pp. 165–177 · Published 17 May 2024
10.9734/jerr/2024/v26i61170Abstract
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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