Norway's Ministry of Education and Research has proposed a near-ban on the use of AI tools for children under 14 in elementary schools. This measure, part of an overhaul of the Education Act, aims to protect children from potential risks such as privacy violations and exposure to inappropriate content. Schools would only be permitted to use AI tools if they adhere to strict safety, data protection, and pedagogical criteria. Why it matters: This proposal highlights a growing international concern regarding the ethical implications and safety of AI in education, which could influence policy discussions and regulatory frameworks in the Middle East and globally.
Michael Kampffmeyer from UiT The Arctic University of Norway presented a talk at MBZUAI on representation learning for deep clustering and few-shot learning. The talk covered deep clustering in multi-view settings and the influence of geometrical representation properties on few-shot classification performance. He specifically discussed embedding representations on the hypersphere and its connection to the hubness phenomenon. Why it matters: This highlights MBZUAI's role in hosting discussions on advanced machine learning topics like few-shot learning, which are crucial for addressing data scarcity challenges in the region and beyond.
KAUST alumnus Dimitrios Kleftogiannis (Ph.D. '16) is now a cancer researcher at the University of Bergen, Norway, using bioinformatics to study liquid biopsies for cancer research. He transitioned from computer science to bioinformatics after his Ph.D. and was inspired by Prof. Mel Greaves at the Institute of Cancer Research in London. Why it matters: This highlights the impact of interdisciplinary training at KAUST and its alumni's contributions to applying AI and computational methods to advance healthcare research.