Artificial intelligence in developing countries

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Nir B. Kshetri, Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: Al applications are tackling economic and social challenges facing developing countries. Economically speaking, Al possesses unique mechanisms that allow it to have significant impacts on economic productivity. While developing countries may experience a decline in outsourcing jobs from developed countries, the potential negative impact of such decline can be minimized by appropriate policy to deploy Al solutions. The true potential of Al comes from the ability to complement as well as enhance traditional factors of production.

Additional Information

IEEE IT Professional, 22(4) 63 - 68.
Language: English
Date: 2020
artificial intelligence, macroeconomics, job outsourcing, economic productivity, AI applications, developing countries, agriculture

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