Recent studies indicate that women are significantly underrepresented in AI-related fields. Globally, only 22% of AI professionals are women, a disparity that reflects broader gender inequalities in STEM education. In educational contexts, this gender gap is evident at multiple levels (WEF, 2018). For example, in computer science courses, which serve as a gateway to AI, women account for only 33% of researchers worldwide (UNESCO, 2019b). This underrepresentation is even more pronounced in leadership roles within AI research and development; only 18% of authors at leading AI conferences and 80% of AI professors are men (S. M. The gender gap in AI is not just a matter of representation but also of opportunity and impact. Women and marginalized groups often lack access to the same educational resources and opportunities as their male counterparts do, leading to disparities in skills and knowledge. This digital divide is particularly pronounced in low-income countries, where access to technology and quality education is limited.