Generative Artificial Intelligence: A Tool to Bridge Gender Gaps in STEM Careers

This study investigates the potential of Artificial Intelligence (AI)-generated personalized images to address the underrepresentation of female students in university engineering programs and promote gender equality in STEM (Science, Technology, Engineering, and Mathematics). Persistent gender disparities in STEM present significant barriers to diversity and innovation, highlighting the need for innovative strategies to inspire underrepresented groups. The research involved 76 high school students from scientific tracks, who were shown with AI-generated personalized images portraying themselves working in STEM-related professions. Results indicate that self-envisioning in STEM fields increased for both genders after the intervention, with the effect being four times greater for female students. In engineering fields specifically, a significant increase in selfenvisioning was observed among female students, while no significant impact was found for male students-likely due to the historical underrepresentation of women and the influence of gender stereotypes on career aspirations. These findings demonstrate the potential of AI-generated personalized images as a novel tool to reduce gender disparities in STEM. Integrating such an approach into career counseling could enhance participation and foster diversity in STEM disciplines.