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 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.
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 is highlighted for its commitment to multidisciplinary research, innovation, and strong leadership, particularly regarding women's education. The university was the first mixed-gender university in Saudi Arabia, with women comprising around 40% of its student population. KAUST actively recruits female faculty members and appoints them to leadership positions, demonstrated through workshops like Women in Science and Engineering (WISE). Why it matters: This underscores the increasing role of women in STEM fields within Saudi Arabia, facilitated by institutions like KAUST.
An article highlights the role of AI in promoting female empowerment, particularly in the UAE, where Emirati women entrepreneurs constitute a significant portion of business owners. MBZUAI is playing a key role by equipping women with AI skills, as exemplified by alumna Farha Albreiki, who is applying her ML expertise at Abu Dhabi Transmission and Despatch Company (TRANSCO). Albreiki is also involved in initiatives like the TRANSCO Women Working Group to foster gender diversity in the tech sector. Why it matters: This underscores the importance of AI education and initiatives within the GCC to support women's participation and leadership in technology and engineering.
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.