This paper explores the use of AI and social media analytics to detect sustainability trends in Saudi Arabia's evolving market, in line with Vision 2030. The study processes millions of social media posts, news articles, and blogs to understand sustainability trends across various sectors. The AI-driven methodology offers sector-specific and cross-sector insights, providing decision-makers with a snapshot of market shifts, and can be adapted to other regions.
UNICEF is exploring the application of artificial intelligence technologies to enhance child well-being globally. This initiative likely focuses on leveraging AI for improved outcomes in areas such as child health, education, and protection. The effort aims to guide the responsible development and deployment of AI solutions that benefit children. Why it matters: Such frameworks are critical for establishing ethical guidelines and ensuring that AI innovations prioritize the safety, privacy, and developmental rights of children worldwide.
This paper explores how AI and social media analytics can identify and track trends in Saudi Arabia across sectors such as construction, food and beverage, tourism, technology, and entertainment. The study analyzed millions of social media posts each month, classifying discussions and calculating scores to track trends. The AI-driven methodology was able to predict the emergence and growth of trends by utilizing social media data.
KAUST and the Social Responsibility Association (SRA) are hosting their third annual AI hackathon at KAUST with 73 participants from across Saudi Arabia. The hackathon aims to deliver 14 social projects in technology and innovation across the tracks of social issues, housing, tourism, and education. KAUST supports the event to foster entrepreneurship and transform ideas into scalable solutions that serve society. Why it matters: The event highlights the growing focus on AI-driven solutions for social challenges within Saudi Arabia, aligning with Vision 2030's goals for digital entrepreneurship.
MBZUAI adjunct professor Iryna Gurevych was appointed to the German National Academy of Sciences Leopoldina and received the “Social Impact Award” at the 18th Conference of the European Chapter of the Association for Computational Linguistics. The Social Impact Award recognized her study on sociodemographic prompting, a technique that steers prompt-based models towards answers reflecting specific sociodemographic profiles. Gurevych was also named one of the 15 most important women in AI in Germany by Manager Magazin for her work building an AI assistant with Amazon. Why it matters: Recognizing experts at MBZUAI raises the visibility of the university and its contributions to cutting-edge NLP research, particularly in areas like ethical and responsible AI development.
KAUST and Aeon Collective signed an MoU on October 25, 2022, to advance sustainability projects in Saudi Arabia and internationally. Aeon Collective is a Waqf focused on sustainability, while KAUST is a research university addressing global sustainability challenges. The MoU aims to strengthen cooperation in sustainability education, research communication, capacity building, and youth engagement in support of Vision 2030 and the UN SDGs. Why it matters: This partnership will combine KAUST's research expertise with Aeon Collective's outreach capabilities to promote sustainability initiatives and education in alignment with Saudi Arabia's Vision 2030.