The World Bank has issued a stern warning, indicating that developing countries have a narrow window of opportunity to effectively embrace and integrate artificial intelligence technologies. This warning emphasizes the urgency for these nations to develop robust strategies and investments to leverage AI for economic growth and societal advancement. The report likely outlines the significant challenges and potential benefits associated with AI adoption for economies in the Global South. Why it matters: This serves as a critical policy recommendation for Middle Eastern and North African nations to prioritize their AI strategies, investments in digital infrastructure, and human capital development to avoid being left behind in the global AI race.
KAUST researchers have developed a surface treatment for jute storage bags to prevent moisture-induced damage to stored grains. The treatment involves roughening the jute surface with an alkali and applying a thin layer of paraffin wax. Experiments showed that seed moisture content reduced by up to 7.5 percent in wax-coated bags, and seed germination efficacy after storage was up to 35 percent higher. Why it matters: This simple, scalable technique could significantly reduce grain losses in developing countries and provide an environmentally friendly alternative for grain storage.
KAUST plant scientists are advocating for the deployment of new plant breeding technologies, including gene editing, to enhance global food security. Researchers Mark Tester and Magdy Mahfouz highlight these methods' potential to improve crops by minimizing crop life cycle for research on breeding, selection, and fixing of useful genes. They argue these technologies offer alternatives to genetically modified crops, potentially lowering regulatory costs and increasing seed affordability for farmers in developing countries. Why it matters: These advancements, coupled with regional seed-sharing initiatives, could significantly boost food production and accessibility in less-developed countries in the Middle East and globally.
Staffan Landin's keynote at KAUST's Winter Enrichment Program 2014 highlighted the importance of data visualization for understanding global trends. He demonstrated how tools like Gapminder can transform public data into real-time animated visualizations, revealing insights into global development. Landin used data visualizations to challenge common misconceptions about developing countries and global issues. Why it matters: This underscores the role of data visualization in promoting informed decision-making and addressing critical challenges in the region and worldwide.
Dr. Ingo Potrykus, co-inventor of Golden Rice, discussed the potential of this genetically modified crop to combat vitamin A deficiency at KAUST's 2014 Winter Enrichment Program. Golden Rice, engineered to produce beta carotene, could prevent millions of deaths and cases of blindness annually in developing countries where rice is a staple. Regulatory hurdles for GMOs have stalled the distribution of Golden Rice, increasing development costs and delaying its availability to farmers. Why it matters: This highlights the potential of biotechnology developed and discussed in the GCC to address global health challenges, but also the regulatory and ethical considerations surrounding GMOs.
MBZUAI launched a report titled "AI for the Global South: 12 Critical Research Questions for the Next Decade" at the India AI Impact Summit. The report identifies 12 urgent research priorities related to AI's accessibility and benefits for developing countries. It grew out of MBZUAI’s AI for the Global South (AI4GS) workshop in December 2023, co-organized with IIT Delhi Abu Dhabi and sponsored by Microsoft. Why it matters: The report addresses the underrepresentation of local data, languages, and institutions from the Global South in modern AI systems, aiming to guide AI development towards inclusive and locally grounded systems.
MBZUAI doctoral student Umaima Rahman is researching domain adaptation and generalization in deep learning for medical imaging to improve AI model performance across diverse hospitals and equipment. Her work focuses on building models that learn consistent features across different data sources to ensure reliability in various healthcare settings. Rahman emphasizes that generalization in healthcare AI is a necessity, especially in resource-limited settings, and aims to develop AI that assists clinicians rather than replaces them. Why it matters: This research addresses a critical challenge in deploying AI in healthcare, ensuring that models can be reliably used in diverse settings, particularly benefiting developing countries and improving global healthcare accessibility.
MBZUAI doctoral student Hawau Toyin is applying AI to the identification, correction, and evaluation of stuttering, particularly in developing countries where it often goes undiagnosed. She is collaborating with the SpeechCare Center UAE and her advisor Dr. Hanan Aldarmaki to develop AI tools for faster and more accessible diagnosis and treatment. The research focuses on data collection from around the world to build an effective AI system that can analyze the various forms of stuttering. Why it matters: This research addresses a critical healthcare gap by leveraging AI to improve diagnosis and treatment of speech disorders in underserved regions.