NYU and NYU Abu Dhabi researchers are working on user-centric gender rewriting in NLP, especially for Arabic. They are building an Arabic Parallel Gender Corpus and developing models for gender rewriting tasks. The work aims to address representational harms caused by NLP systems that don't account for user preferences regarding grammatical gender. Why it matters: This research promotes fairness and inclusivity in Arabic NLP by enabling systems to generate gender-specific outputs based on user preferences, mitigating biases present in training data.
A panel discussion on women in biology was held as part of the 2016 Fall Enrichment Program at KAUST. Jasmeen Merzaban, Ashwag Abdullah Albukhari, Bettina Berger and Peiying Hong were the speakers. The event featured successful female scientists sharing their experiences. Why it matters: Showcases KAUST's commitment to promoting women in STEM fields and providing a platform for their voices.
KAUST hosted a regional Women in Data Science (WiDS) conference, part of a global event held at over 100 regional institutions led by Stanford University. The KAUST event featured exclusively female speakers and aimed to highlight data science research and applications. KAUST is launching a 'Women in Data Sciences and Technology' initiative to support women's education and careers in the field. Why it matters: This initiative can help address the underrepresentation of women in data science in Saudi Arabia and the broader region.
KAUST's 2018 Winter Enrichment Program (WEP) featured a significant number of female speakers, highlighting the growing role of women in STEM. Events like "The Rise of Nanomachines" and "Women in STEM" provided platforms for female scientists to share their work and experiences. A "Speed Mentoring" session facilitated mentor-mentee relationships between graduate students and women in STEM at KAUST. Why it matters: Such initiatives help to foster a supportive environment for women in science and engineering within Saudi Arabia's leading research university.
Saudi Arabia is reportedly leading globally in the empowerment of women in artificial intelligence, driven by various groundbreaking national initiatives. These efforts aim to integrate women into the rapidly growing AI sector and position the Kingdom as a leader in this domain. The announcement comes from the Saudi Press Agency (SPA), highlighting the country's strategic focus on human capital development in AI. Why it matters: This signifies a major policy push within Saudi Arabia to diversify its workforce and enhance its AI ecosystem through gender inclusion, aligning with broader national development goals.
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.
KAUST celebrates 15 years since its establishment as the first mixed-gender university in Saudi Arabia, highlighting its role in championing women in science. Numerous KAUST female graduates have achieved success in academia, government, and entrepreneurship. Programs like KGSP and the Ibn Rushd fellowship have been instrumental in nurturing talent and empowering women in STEM. Why it matters: KAUST's focus on gender equality and STEM education serves as a model for advancing women's contributions to technological and economic development in the region.