International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Artificial Intelligence and GenderedEmployment: Reviewing Opportunities andChallenges for Women in Emerging TechnologySectors
| Author(s) | Ms. Jayshri Rajesh Patel |
|---|---|
| Country | India |
| Abstract | Artificial Intelligence (AI) is rapidly transforming workplaces across the globe, offering both novel opportunities and unique challenges for women in technology-driven industries. This paper provides a comprehensive review of current research on gendered employment patterns in AI-enabled sectors, analyzing structural barriers, workforce biases, and digital skill gaps that affect women’s participation. Drawing on peer-reviewed studies, policy analyses, and preprint research, the paper examines how AI applications—ranging from recruitment algorithms to workplace automation—can either reinforce gender disparities or promote equitable employment outcomes. The review highlights successful initiatives, organizational strategies, and policy interventions that have enhanced women’s inclusion, career progression, and representation in emerging tech roles. In addition, it addresses social, cultural, and ethical considerations that influence women’s engagement in AI-centric workplaces. By synthesizing global evidence, this study identifies practical recommendations for reskilling, mentorship programs, bias-aware AI deployment, and inclusive organizational design. This review also draws attention to regional differences, especially in developing contexts, and highlights the importance of context-specific approaches. It contributes to broader discussions on inclusive technological transformation by combining insights from multiple disciplines. The findings aim to guide researchers, practitioners, and policymakers in creating AI-enabled work environments that are both innovative and gender-inclusive. |
| Keywords | Artificial Intelligence, Gendered Employment, Women in Technology, AI Bias, Workforce Inclusion, Emerging Tech Sectors, Digital Skills |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-10 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i02.74249 |
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E-ISSN 2582-2160
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