Data labeling for the artificial intelligence industry: Economic impacts 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: Artificial intelligence (AI) applications, although at a nascent stage of development, are already having considerable economic and social impacts in developing countries.1 An equally fascinating and important aspect of the development of the global AI industry is that a high proportion of jobs that require relatively low skills in this industry are being performed by the developing countries. The multibillion-dollar data labeling industry represents an interesting example to illustrate this trend.

Additional Information

IEEE IT Professional, 23(2), 96-99.
Language: English
Date: 2021
Data models, Labeling, Artificial intelligence, Developing countries

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