Artificial Intelligence (AI) and Public Governance in Sub-Saharan Africa: Assessing its implication for Job Losses

Authors

  • Paulinus Agabi Ekunke Department of Public Administration, Faculty of Management Sciences, University of Calabar, Calabar, Nigeria
  • Daniel Bisong Bisong Department of Public Administration, Faculty of Management Sciences, University of Calabar, Calabar, Nigeria https://orcid.org/0000-0002-2771-2695
  • Peter Ebam Ebam Department of Public Administration, Faculty of Management Sciences, University of Calabar, Calabar, Nigeria
  • Ibor Efoli Eta Department of Public Administration, Faculty of Management Sciences, University of Calabar, Calabar, Nigeria

Keywords:

Artificial Intelligence, Public Governance, Sub-Saharan, Africa

Abstract

Artificial intelligence (AI) is a technology that enables computers, robots, and other machines (like drones and driverless cars) to perform tasks that were previously only possible for people or a small group of people. AI uses techniques like robotic process automation, natural language processing, computer vision, machine learning (including deep learning), and computer vision. This study aims to investigate the effects of artificial intelligence (AI) on job losses in public governance in Sub-Saharan Africa. The study uses a correlational research approach, which is more focused on establishing the state of a phenomenon rather than identifying the specific cause. Information was gathered and findings were discussed using secondary data. The results showed that a greater proportion of occupations in Sub-Saharan Africa, especially in agriculture, are in danger of disappearing due to artificial intelligence (AI) applications. Thus, among other things, it is advised that AI be used sparingly in Sub-Saharan African’ governance related matters.

 

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Published

2024-08-01

How to Cite

Ekunke, P. A., Bisong, D. B., Ebam , P. E., & Eta, I. E. (2024). Artificial Intelligence (AI) and Public Governance in Sub-Saharan Africa: Assessing its implication for Job Losses. Journal of Public Administration, Policy and Governance Research, 2(3), 31–41. Retrieved from https://jpapgr.com/index.php/research/article/view/112