MBZUAI, in collaboration with the Abu Dhabi School of Government, held an ‘AI for Leadership’ training course for government sector leaders. The four-day course was designed by AI experts at MBZUAI to equip leaders with the knowledge to leverage AI applications. The course supports the UAE Strategy for Artificial Intelligence 2031 and aims to diversify the economy and improve government services. Why it matters: The initiative reflects the UAE's commitment to building a thriving AI ecosystem by empowering government leaders to apply AI in their organizations.
MBZUAI launched its Executive Program, a hybrid course for government and industry leaders to promote greater engagement with AI. The program's first session, led by MBZUAI President Eric Xing, covered the history and future of AI and machine learning. It aims to accelerate AI development across various sectors in the UAE, focusing on efficiency, cost savings, and environmental impact reduction. Why it matters: This initiative signals the UAE's commitment to fostering AI literacy and driving AI adoption across key sectors, aligning with national economic development plans.
Harvard Professor David C. Parkes is leading a session on AI, Machine Learning, and Economics for the inaugural cohort of the MBZUAI Executive Program. This program includes 42 participants, including ministers and C-suite executives, and spans 12 weeks. The program aims to support the UAE's AI leadership mission through education and capacity building. Why it matters: This highlights the UAE's ongoing efforts to attract global AI expertise and develop local leadership in the field, furthering its national AI strategy.
MBZUAI's executive programs (MEP and MEP-A) have trained nearly 240 senior leaders from the UAE's public and private sectors to implement AI solutions. Cohort six of the MEP begins in April, while the MEP-A will commence later in the year. The programs, taught by instructors from MBZUAI, UC Berkeley, Oxford, Harvard, and MIT, cover AI fundamentals, industry applications, strategy, policymaking, and ethics. Why it matters: These programs aim to empower leaders to contribute to the UAE's growing AI ecosystem and promote ethically-rooted innovation, aligning with the UAE's national AI strategy.
MBZUAI researchers are studying how AI can be used to combat disinformation and improve news verification during elections, as AI amplifies the volume and speed of fake news. Dilshod Azizov is using machine learning to spot patterns in news that will improve verification, while Preslav Nakov's FRAPPE system identifies persuasive techniques and framing in news articles. FRAPPE uses machine learning and NLP to analyze news presentation and reporting, aiming to help users understand the underlying context of news. Why it matters: This research highlights the potential of AI to both negatively and positively impact democratic processes, emphasizing the need for tools to analyze and verify information in the face of increasing AI-generated disinformation.
MBZUAI has completed the second edition of its Global AI Leadership Program (GAILP), designed to equip senior UAE decision-makers with the knowledge to lead in an AI-driven environment. The five-day program included leaders from government, industry, and the innovation ecosystem, with sessions focusing on AI fundamentals, data-driven prediction, workforce transformation, and governance. Participants also discussed the ethical considerations for AI usage.
The Director-General of the Abu Dhabi Digital Authority, Mohamed Abdelhameed Al Askar, will give a talk on AI adoption in government. The talk will cover key points related to AI utilization within government organizations. Al Askar has experience managing digital initiatives such as the Abu Dhabi Government Services Program (TAMM). Why it matters: This signals the increasing importance of AI in public sector modernization efforts in the UAE and the broader region.
MBZUAI President Professor Eric Xing discussed AI's potential to augment human capabilities and the responsibility of AI researchers in shaping future leaders. Xing's background includes professorships at Carnegie Mellon University, leadership at Petuum Inc., and directorship of the Center for Machine Learning and Health. He also held visiting positions at Stanford University and Facebook Inc. Why it matters: The emphasis on responsible AI development and education aligns with the UAE's broader strategy to become a leader in ethical and human-centric AI.