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Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market

Year 2024, Issue: 69, 159 - 168, 13.06.2024
https://doi.org/10.26650/JECS2023-1415085

Abstract

Artificial intelligence (AI) is now present in nearly every aspect of our daily lives. Furthermore, while this AI augmentation is generally beneficial, or at worst, nonproblematic, some instances warrant attention. In this study, we argue that AI bias resulting from training data sets in the labor market can significantly amplify minor inequalities, which later in life manifest as permanently lost opportunities and social status and wealth segregation. The Matthew effect is responsible for this phenomenon, except that the focus is not on the rich getting richer, but on the poor becoming even poorer. We demonstrate how frequently changing expectations for skills, competencies, and knowledge lead to AI failing to make impartial hiring decisions. Specifically, the bias in the training data sets used by AI affects the results, causing the disadvantaged to be overlooked while the privileged are frequently chosen. This simple AI bias contributes to growing social inequalities by reinforcing the Matthew effect, and it does so at much faster rates than previously. We assess these threats by studying data from various labor fields, including justice, security, healthcare, human resource management, and education.

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Year 2024, Issue: 69, 159 - 168, 13.06.2024
https://doi.org/10.26650/JECS2023-1415085

Abstract

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There are 155 citations in total.

Details

Primary Language English
Subjects Sociology (Other)
Journal Section Review Articles
Authors

Mahmut Özer 0000-0001-8722-8670

Matjaz Perc 0000-0002-3087-541X

H. Eren Suna 0000-0002-6874-7472

Publication Date June 13, 2024
Submission Date January 5, 2024
Acceptance Date February 8, 2024
Published in Issue Year 2024 Issue: 69

Cite

APA Özer, M., Perc, M., & Suna, H. E. (2024). Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market. Journal of Economy Culture and Society(69), 159-168. https://doi.org/10.26650/JECS2023-1415085
AMA Özer M, Perc M, Suna HE. Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market. Journal of Economy Culture and Society. June 2024;(69):159-168. doi:10.26650/JECS2023-1415085
Chicago Özer, Mahmut, Matjaz Perc, and H. Eren Suna. “Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market”. Journal of Economy Culture and Society, no. 69 (June 2024): 159-68. https://doi.org/10.26650/JECS2023-1415085.
EndNote Özer M, Perc M, Suna HE (June 1, 2024) Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market. Journal of Economy Culture and Society 69 159–168.
IEEE M. Özer, M. Perc, and H. E. Suna, “Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market”, Journal of Economy Culture and Society, no. 69, pp. 159–168, June 2024, doi: 10.26650/JECS2023-1415085.
ISNAD Özer, Mahmut et al. “Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market”. Journal of Economy Culture and Society 69 (June 2024), 159-168. https://doi.org/10.26650/JECS2023-1415085.
JAMA Özer M, Perc M, Suna HE. Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market. Journal of Economy Culture and Society. 2024;:159–168.
MLA Özer, Mahmut et al. “Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market”. Journal of Economy Culture and Society, no. 69, 2024, pp. 159-68, doi:10.26650/JECS2023-1415085.
Vancouver Özer M, Perc M, Suna HE. Artificial Intelligence Bias and the Amplification of Inequalities in the Labor Market. Journal of Economy Culture and Society. 2024(69):159-68.