KAUST ·
Lawrence Carin, former VP for Research at Duke University, has been appointed Provost of KAUST. Carin's background includes a professorship at Duke, and research and administrative roles. He is a researcher in AI/ML, with over 450 papers and an H-index of 86. Why it matters: The appointment signals KAUST's continued focus on attracting global AI talent and advancing its digital thematic priorities.
KAUST ·
Marco Canini is an assistant professor of computer science at KAUST in the Computer, Electrical and Mathematical Science and Engineering Division. He is highlighted in a faculty focus piece by KAUST Discovery. Why it matters: Showcases talent at KAUST.
arXiv ·
This study introduces a Probabilistic Graphical Model (PGM) framework utilizing Pearl's do-operator to causally audit LLM safety mechanisms, specifically isolating the effect of injecting cultural demographics into prompts. A large-scale empirical analysis was conducted across seven instruction-tuned models from diverse origins, including the UAE's Falcon3-7B, as well as models from the US, Europe, China, and India, using ToxiGen and BOLD datasets. The findings revealed a disparity between observational and interventional bias, demonstrating that standard fairness metrics can overestimate demographic bias. Western models exhibited higher causal refusal rates for specific demographic groups, while Eastern models showed low overall intervention rates with targeted sensitivities toward regional demographics. Why it matters: This research highlights the geopolitical nuances of LLM safety alignment and the potential for demographic-sensitive over-triggering to restrict benign discourse, which is particularly relevant for diverse regions like the Middle East in developing culturally-aware AI.
KAUST ·
Michael Waterman, professor at USC, and Wei Wang, director at UCLA, gave keynote addresses at KAUST. Charlotte Hauser, KAUST professor of bioscience, also gave a keynote lecture. Peer Bork (EMBL) and Martin Noble spoke with Vladimir Bajic at the event. Why it matters: This indicates KAUST's ongoing engagement with international experts to advance research in computational biology.
KAUST ·
KAUST hosted the KAUST Research Conference: Advances in Well Construction with Focus on Near-Wellbore Physics and Chemistry from November 7 to 9. The conference was co-chaired by Eric van Oort, a professor at UT Austin, and Tadeusz Patzek, director of the University’s Upstream Petroleum Engineering Research Center. Attendees included professors from the University of Queensland and UT Austin, and directors from GenesisRTS and Labyrinth Consulting Services, Inc. Why it matters: The conference facilitates international collaboration on advancements in petroleum engineering and well construction technologies, which are strategically important for Saudi Arabia.
KAUST ·
KAUST professors Roberto Di Pietro and Marc Dacier co-authored a paper on cybersecurity strategies for Saudi Arabia and the Arab world, published in Communications of the ACM. The paper outlines a multidisciplinary framework for digitization aligned with Saudi Vision 2030, emphasizing global best practices, cultural adaptation, and capacity building. KAUST is positioned to advise on national cybersecurity policy in cooperation with the Saudi National Cybersecurity Authority. Why it matters: The framework addresses the critical need for advanced cybersecurity to support Saudi Arabia's rapidly growing digital economy and infrastructure.
KAUST ·
KAUST and KACARE have signed an MoU to strengthen scientific collaboration in renewable energy, hydrogen, AI, and innovation. The MoU aims to accelerate the adoption of sustainable technologies and the development of prototypes. The agreement includes joint educational and training programs and support for entrepreneurship. Why it matters: This partnership will foster sustainable energy innovation and contribute to Saudi Arabia's national development goals in alignment with Vision 2030.
MBZUAI ·
UC Berkeley professor Michael I. Jordan will lead a session on AI, Machine Learning and Economy as part of the MBZUAI Executive Program. The program is headed by MBZUAI President Eric Xing and includes 42 participants from ministerial leadership and top industry executives. The 12-week program aims to support the UAE's AI leadership mission through education, capacity building, innovation, and R&D. Why it matters: The involvement of a prominent academic figure like Jordan highlights the UAE's commitment to attracting global expertise in AI education and solidifying its position as an AI hub.