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.
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.
The Special Olympics Global Center Summit in Abu Dhabi convened 300 advocates to discuss social inclusion for individuals with intellectual disabilities. A panel including MBZUAI's Elizabeth Churchill highlighted AI's role in inclusive technology design, especially in education. Churchill noted AI can personalize learning through tailored regimens, emotion detection, and understanding cognitive patterns. Why it matters: AI-driven personalization has potential to transform education and accessibility for children of determination and other underrepresented groups in the region.
MBZUAI is highlighting five female leaders in AI for International Women’s Day, noting its 28% female student body. Dr. Farida Al Hosani is developing an AI healthcare solution for non-communicable diseases and was appointed VP of MBZUAI’s Alumni Advisory Board. Dr. Hanan Aldarmaki focuses on improving Arabic automated speech recognition and recently won an award for a paper on Arabic speech processing. Why it matters: Showcasing women in AI leadership helps promote diversity and inclusion in the field, especially in the context of the rapidly growing AI ecosystem in the UAE.
The study analyzes over 1,000 images generated by ImageFX, DALL-E V3, and Grok for 56 Saudi professions, finding significant gender imbalances and cultural inaccuracies. DALL-E V3 exhibited the strongest gender stereotyping, with 96% male depictions, particularly in leadership and technical roles. The research underscores the need for diverse training data and culturally sensitive evaluation to ensure equitable AI outputs that accurately reflect Saudi Arabia's labor market and culture.
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.
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 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.