ARTIFICIAL INTELLIGENCE AND THE INTEGRATION OF WOMEN IN THE LABOR MARKET
This article examines the impact of Artificial Intelligence (AI) technologies on women’s integration into the labor market and the
achievement of gender equality. Drawing on reports from international organizations such as the ILO, OECD, UNDP, and the
World Economic Forum, as well as relevant academic literature, the study highlights both opportunities and risks associated with
women’s participation in the era of digital transformation. Findings indicate that AI can create new opportunities for women by
partially automating jobs; however, the lack of digital skills and algorithmic bias may exacerbate existing gender disparities.
Therefore, it is essential to integrate gender perspectives into AI policy, promote women’s participation in STEM fields, and
strengthen digital literacy to ensure inclusive and equitable outcomes.
1. Schwab, K. (2016). The Fourth Industrial Revolution. Geneva: World Economic Forum.
2. Autor, D. (2022). The Work of the Future: Building Better Jobs in an Age of Intelligent Machines. MIT Press.
3. Rotman, D. (2023). “How Technology is Reshaping Work.” MIT Technology Review, 126(2), 45–53.
4. International Labour Organization (ILO). (2023). Generative AI and Jobs: A Global Analysis of Potential Effects on
Quantity and Quality of Work. Geneva: ILO.
5. OECD. (2022). AI in the Labour Market: Risks and Opportunities. Paris: OECD Publishing.
6. United Nations Development Programme (UNDP). (2021). Gender Equality and Digital Transformation. New York:
UNDP.
7. World Economic Forum (WEF). (2022). Global Gender Gap Report. Geneva: WEF.
8. European Commission. (2021). Women in Digital Scoreboard 2021. Brussels: EC.
9. Smith, A., & Neupane, S. (2021). “Artificial Intelligence and Gender Bias: Exploring the Future of Work.” Journal of
Sociology and Social Policy, 41(5/6), 435–450.
10. Bessen, J. (2019). “AI and Jobs: The Role of Demand.” NBER Working Paper No. 24235. Cambridge, MA: National
Bureau of Economic Research.
11. UNESCO. (2021). Cracking the Code: Girls’ and Women’s Education in STEM. Paris: UNESCO Publishing.
12. Gal, P., & Theising, A. (2019). Labour Market Effects of Digitalization and Automation: Implications for Gender Equality.
OECD Economics Department Working Papers.
13. ILO (2023). Generative AI and Jobs: A Global Analysis of Potential Effects on Quantity and Quality of Work. International
Labour Organiza
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