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Research Paper Volume 6 Issue 3 3252 - 3262 June 19, 2023

Challenges for Women in Artificial Intelligence: Promoting Gender Equality and Inclusivity

Lead author · Corresponding
Dr. Meenakshi Punia
Assistant Professor at Sardar Patel University of Police Security and Criminal Justice Jodhpur, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.115248
Abstract

The integration of artificial intelligence (AI) technologies in various domains has the potential to reshape our societies and economies. However, the role of women in this rapidly advancing field remains underrepresented and poses unique challenges. This paper explores the intersection of women and AI, focusing on the opportunities, barriers, and implications for gender equality. The paper begins by examining the underrepresentation of women in AI-related fields, discussing the factors contributing to this gender gap, such as societal stereotypes, biases in recruitment and promotion processes, and limited access to educational and career opportunities. It highlights the importance of diverse perspectives and the need for increased representation of women in AI development and decision-making processes. Furthermore, the paper delves into the potential impact of AI on gender dynamics, discussing concerns related to algorithmic bias, gender-based discrimination in AI systems, and the perpetuation of societal inequalities. It emphasizes the importance of ethical considerations and inclusive approaches to AI development that address and mitigate these biases.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 6, Issue 3, Page 3252 - 3262
DOI: https://doij.org/10.10000/IJLMH.115248
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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