Skip to content
Research Article Open access CC BY 4.0

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/v26i61170

Abstract

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.

Artificial intelligence automation digital divide developing countries education technology healthcare innovation agricultural technology economic development policy challenges infrastructure barriers

Cited by 64

Empowering Sustainable Agriculture Harnessing AI for Enhanced Yields, Resource Efficiency, and Eco-Friendly Farming Practices

Ankur Bhardwaj, Surendra Prakash Gupta · Advances in Computational Intelligence and Robotics · 2025

Showing 21 of 64 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

55

Page views

0

PDF downloads

4

Outbound clicks

64

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.