Women in Technology: Challenges and Opportunities in the Age of AI

Abstract

– This study aimed to systematically analyze the factors that contribute to the underrepresentation of women in Technology, specifically in the field of AI, for a comprehensive understanding of the Challenges and Opportunities they face. A quantitative, cross-sectional study was conducted. The Multiple Regression Analysis technique was used. The study participants were 735 professional women working in different industries linked to technology in Ecuador. The sample of 636 was selected through intentional sampling. A 15-question Likert scale questionnaire was applied. The results reveal that restricted access to technical skills development opportunities negatively affects women's participation in the technology sector; the absence of role models and targeted mentoring programs has a negative impact; negative gender stereotypes and biases towards their capabilities in technological careers represent an important barrier to their integration. On the contrary, government initiatives aimed at promoting their inclusion in the technology sector have had a positive effect. And, a greater presence of women in research and development teams of artificial intelligence solutions is associated with greater innovation, diversity, and ethics in these systems. In conclusion, it is imperative to address various factors such as access to training opportunities, the availability of role models and mentoring, the elimination of gender stereotypes and biases, and the strengthening of government policies and programs.