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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.