Automation and effects on gender earning gaps and international labour trade
Dr. Tamaro J. Green
2021-05-02 23:20:52 viewed: 312
Automation through emerging sciences such as artificial intelligence may reduce jobs in certain fields and increase gender earning gaps. Frank et al. (2019) suggests data collection and analysis, responsive to changes, for understanding the impact of artificial intelligence on labour markets. Automation may also increase specialization and outsourcing of technical jobs. Mohler, Weder, and Wyss (2018) review the international labour trade of specialization and outsourcing and its effect on income losses and unemployment. Increases in automation should renew interests in reducing gender earning gaps. Lain (2019) models discrimination in the labour market to assess large gender earning gaps for the self employed sector.
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., . . . Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531. doi:10.1073/pnas.1900949116
Lain, J. (2019). Discrimination in a search and matching model with self-employment. IZA Journal of Development and Migration, 9(1), 6. doi:10.1186/s40176-019-0140-3
Mohler, L., Weder, R., & Wyss, S. (2018). International trade and unemployment: towards an investigation of the Swiss case. Swiss Journal of Economics and Statistics, 154(1), 10. doi:10.1186/s41937-017-0006-7
Dr. Tamaro Green is a computer science researcher and the founder of TJG Web Services. TJG Web Services, LLC is a consulting firm in the field of information technology. Dr. Green writes on topics of privacy, security, and ethics in information technology and computer science.
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