INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 716
THE ROLE OF WOMEN IN MODERN ARTIFICIAL INTELLIGENCE
AND ROBOTICS
Kamolakhon Haydarova
Teacher at Kokand University
Abstract:
This scientific article explores the current state of women's participation in the
fields of Artificial Intelligence (AI) and robotics, the challenges they face, and strategies for
overcoming these barriers. The study analyzes existing scientific literature, statistical data,
international experiences, and practical initiatives. It identifies factors hindering women’s
entry into these fields—such as gender stereotypes, educational disparities, labor market
inequalities, and the lack of supportive systems. Additionally, strategic measures are
proposed to increase female engagement, including ensuring gender equality in education,
launching mentorship programs, promoting women-led research, and highlighting successful
female role models. The findings emphasize the need for a comprehensive approach to ensure
inclusivity in AI and robotics.
Keywords:
Women’s participation, artificial intelligence, robotics, gender equality, STEM
education, technological sciences, mentorship program, women's empowerment, labor market,
stereotypes, innovation, inclusive technology.
Introduction
The 21st century is an era of technological advancement, with fields such as artificial
intelligence (AI) and robotics developing at a rapid pace. These fields are fundamentally
transforming all aspects of our society—from manufacturing to healthcare, and from
education to transportation. However, despite this large-scale growth in AI and robotics, the
participation of women in these fields remains limited. This article provides an in-depth
analysis of the role of women in modern AI and robotics, examines the barriers they face, and
explores strategic measures to enhance female participation in these sectors.
Literature Review
In recent years, the participation of women in the fields of artificial intelligence (AI) and
robotics has become a globally relevant issue. Various scientific articles, international reports,
and statistical data show that gender disparities persist in these fields. According to UNESCO
(2021), the proportion of women working in technology and engineering remains low, with
only 22% of authors of AI-related scientific articles being women. Additionally, the number
of research studies led by women in leading robotics journals is significantly lower than those
led by men.
Some studies, such as the one by West and Vetter (2020), identify social stereotypes and
gender-related barriers as key challenges to attracting women to technological fields. As a
result, many international organizations and non-profit institutions have developed programs
aimed at increasing women's interest in these areas, encouraging their involvement, and
supporting their professional activities.
Initiatives like Women in AI, Girls Who Code, and AI4ALL provide mentorship programs,
grants, specialized training, and hands-on projects for women. These initiatives aim to
expand access for women in these fields, enhance their technical skills, and support their
active participation in professional networks. Furthermore, collaboration between the public
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 717
and private sectors plays a crucial role in developing policies and strategies to support
women in AI.
Moreover, the literature highlights the effectiveness of the following strategic measures for
increasing female participation in AI and robotics: introducing advanced technologies early
in the educational process, incorporating gender-sensitive educational materials, organizing
meetings with successful female professionals, and conducting psychological training to help
girls build self-confidence.
Overall, the analysis of current literature and studies indicates that achieving gender equality
in AI and robotics requires a systematic approach, multi-level support mechanisms, and
international collaboration.
Research Methodology
This research utilizes both qualitative and quantitative (statistical) approaches to examine the
participation of women in the fields of artificial intelligence (AI) and robotics. The study
analyzed scientific articles, analytical reports, official statistical sources, and information
related to existing programs and initiatives in the field, at both international and national
levels.
The main statistical data for the analysis were sourced from the following:
UNESCO Institute for Statistics (2021):
The proportion of women among authors
of AI-related scientific papers is 22%.
World Economic Forum (2023):
Women represent only 26% of the global
workforce in AI and technological fields.
OECD (2022):
Data shows that female students have a lower interest in STEM
subjects, contributing to future gender disparities in technological fields.
Additionally, data from open databases and annual reports from organizations like Women in
AI, Girls Who Code, and AI4ALL were collected and analyzed. This data provided insights
into programs aimed at women, including the number of participants, age groups, and the
effectiveness of these initiatives.
The following steps were carried out in the research methodology:
1.
Literature Selection and Classification
– Over 30 scientific articles and reports
published in the last 10 years on the subject of women in the fields of AI and robotics were
reviewed.
2.
Analysis of Statistical Data
– The quantitative indicators of women's participation
were summarized based on the aforementioned sources.
3.
Comparative Analysis of Initiatives and Programs
– Support mechanisms aimed at
women, their geographic coverage, and target groups were analyzed.
4.
Identification of Effective Strategies
– The most effective methods and approaches
were highlighted, including early technical education, mentorship, and gender-sensitive
policies.
In UNESCO’s 2021 report titled "Women and the Digital Revolution", the following
statistical data regarding women's participation in AI is presented: (Figure 1)
Only 22% of professionals working in AI are women.
28% of higher education graduates in engineering are women.
40% of graduates in computer science are women.
1
https://www.unesco.org/reports/science/2021/en/women-digital-
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 718
Figure 1. The role of women in robotics in the context of Industry 4.0 compared to 2018
statistics.
According to the OECD.AI platform, the following statistics on gender disparities in the AI
field are available:
Only 11% of AI research papers are written solely by women.
55% of AI research papers are written solely by men.
According to an analysis conducted by Interface EU, the global share of women in the AI
field is as follows:
22% of AI professionals are women.
The share of women in high-level positions in AI is less than 14%.
Results
Based on the scientific literature, statistical sources, and practical initiatives studied during
the research, the following key findings were made:
1.
Gender Disparity Confirmed
: The existence of gender inequality was confirmed.
The low participation of women in the AI and robotics fields is clearly reflected in the
numbers. For example, only 22% of scientific paper authors in the AI field are women, and
only 26% of the overall workforce in the technology sector is composed of women. This
indicates that gender balance in the field is still insufficient.
2.
Multiple Barriers for Women Identified
: Research indicates that women face
several significant barriers when entering AI and robotics fields:
o
Social stereotypes and cultural attitudes
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 719
o
Lack of early access to technological education
o
Absence of sufficient role models for women
o
Weak mentorship and practical support systems
3.
Support Programs Play a Crucial Role
: International initiatives such as "Women in
AI", "Girls Who Code", and "AI4ALL" have shown that educational programs, training, and
grants organized through these platforms are increasing women's interest in technological
fields. These initiatives not only enhance knowledge and skills but also strengthen women's
self-confidence.
4.
Early Education as a Key Factor
: It was found that sparking interest in advanced
technologies during early education, particularly in preschool and school years, is one of the
most effective methods for attracting women to AI and robotics fields. In particular, the
introduction of gender-sensitive curricula plays a crucial role in shaping girls' positive
attitudes toward these fields.
5.
Need for a Strategic Approach
: The results indicate that systematic and multi-level
strategies are necessary to engage more women in technological fields. These strategies
include:
o
Alignment of national and international political approaches
o
Special programs for women at higher education institutions
o
Expanding job opportunities for women through collaboration with the private
sector
The research findings show that although there is interest among women in AI and robotics
fields, their actual participation remains significantly low. According to statistical data, only
22% of students in AI-related programs at higher education institutions are women, and
among professionals actively working in the field, women account for only 12%. These
numbers highlight the limited opportunities available to women and the systemic issues that
keep them distant from active participation in the field.
Barriers Faced by Women:
1.
Stereotypes
: In society, AI and robotics are often seen as fields dominated by men.
This stereotype plays a significant role in discouraging women from entering these fields.
2.
Education and Support
: Women tend to receive less education in subjects related to
AI and robotics, such as mathematics and computer science, which hinders their entry into
these fields.
3.
Inequality in the Workplace
: Female specialists are often offered fewer
opportunities than their male counterparts, receive lower salaries, and are less likely to be
promoted to leadership positions.
4.
Sexual Harassment and Discrimination in the Workplace
: Female specialists face
a higher risk of encountering sexual harassment and discrimination at the workplace.
Strategic Measures to Engage Women:
1.
Ensuring Gender Equality in Education
: It is crucial to engage girls in science,
mathematics, and computer science by providing them with relevant educational materials
and support programs.
2.
Mentorship and Sponsorship Programs for Women
: It is necessary to create
mentorship and sponsorship programs that help women advance in their careers and achieve
success in the workplace.
3.
Supporting Women's Research in AI and Robotics
: Financially supporting
research conducted by women and promoting their findings to a wider audience is essential.
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 720
4.
Supporting Women-Founded Technology Companies
: Technology companies
established by women should be supported with financial and other resources.
5.
Public Awareness Campaigns
: Successful examples of women in AI and robotics
should be promoted through media outlets to inspire and encourage more women to enter
these fields.
Discussion
The findings of this study demonstrate that the low participation of women in the fields of AI
and robotics is closely linked to serious social, educational, and institutional issues. The
statistical data and analyses identified during the research confirm that the number of women
in these fields is very low—only 22% of those pursuing education and just 12% of those
actively working in the field. This situation reflects the global problem of gender inequality
in technological fields.
Gender stereotypes in society, disparities in the education system, limited opportunities for
women in the labor market, and biased attitudes in the workplace all contribute to the
marginalization of women in these fields. These factors align with the findings of earlier
studies (such as UNESCO 2021 and OECD AI gender gap analysis), which also identified
these barriers as key reasons for limiting women's interest in and participation in technology.
Furthermore, the strategic measures proposed in this study—such as strengthening gender
equality in education, implementing mentorship programs, and providing financial support
for women's research and innovations—are likely to bring about positive changes in the
future. Especially, promoting positive female role models to the younger generation can
strengthen their confidence in their own potential.
However, for any strategic change to be effective, strong collaboration between governments,
educational institutions, and the private sector is necessary. Additionally, shifting the mindset
to view women not only as consumers but also as creators of technology requires a
transformation in societal thinking.
It is important to emphasize that gender equality in AI and robotics not only serves women's
interests but also plays a crucial role in fostering innovation and creating inclusive
technologies. The integration of diverse perspectives and approaches will contribute to
making AI systems more equitable, sustainable, and socially beneficial.
Conclusion
The results of this study indicate that the low participation of women in the fields of AI and
robotics is not only a global issue but also a significant factor negatively impacting social
justice, economic development, and innovation. Through the analysis of statistical data,
scientific literature, and existing initiatives, several key reasons for the barriers women face
in entering these fields have been identified: stereotypes, educational inequality, workplace
discrimination, and the weakness of support systems.
At the same time, solutions to address these issues do exist. Encouraging girls' interest in
technology from an early age, ensuring gender equality in education, implementing
mentorship and sponsorship programs, supporting women's research, and strengthening
public awareness campaigns can all foster greater female participation in these fields. Such
approaches will not only unleash women's potential but also contribute to the inclusive and
sustainable development of AI and robotics.
In conclusion, ensuring the active participation of women in AI and robotics is not just a
matter of gender equality, but also a crucial step toward building a future based on fairness
and equal opportunities founded on advanced technologies. If efforts in this regard continue
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 04,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 721
on a systematic and strategic basis, there is no doubt that we will see more women in these
important fields.
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