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KAUST “Dear AI” campaign targets gender bias in AI, profiles Saudi women in tech

KAUST · Mar 8

KAUST is launching the "Dear AI" campaign and hackathon to address gender bias and under-representation of women and Saudi/Arab people in AI, after finding AI image tools return only 1% women for prompts like "imagine entrepreneur." The campaign calls for accurate representation in AI datasets from Saudi Arabia and beyond. KAUST notes that 47% of graduates in their AI academy are women. Why it matters: This campaign highlights the need for more inclusive AI training data and addresses gender imbalances in STEM fields in Saudi Arabia.

Similarities and anomalies for MBZUAI’s winning pair

MBZUAI · Invalid Date

An all-female team including two MBZUAI master's students won the WomenHackAI competition, presented by Siemens Female Data Science Network. The team developed an anomaly detector for financial time-series datasets, achieving 99% performance. The solution involved building models to analyze historical data and a GUI for real-time data upload and anomaly flagging. Why it matters: The recognition of MBZUAI students in an international competition highlights the growing talent pool in AI within the UAE and the university's role in fostering innovation.

A conversation with Women in AI founders

MBZUAI · Invalid Date

MBZUAI's Women in AI (WAI) club, founded by master’s students Asma Hashmi and Ameera Bawazir, aims to increase female representation in AI at MBZUAI and the UAE. The club aligns with the International Day of Women and Girls in Science, addressing the underrepresentation of women in AI globally (22%). MBZUAI reports 31% female students in its first cohort and hopes to increase this, supported by faculty like Prof. Najwa Aaraj. Why it matters: This initiative highlights efforts to close the gender gap in AI within the UAE's leading AI university, fostering a more inclusive and diverse tech ecosystem.