AI policy, governance, and national AI strategy from GCC governments — including UAE AI Strategy, Saudi Vision 2030 AI initiatives, and SDAIA regulatory frameworks.
The Central Bank of the UAE (CBUAE) has issued gold and silver commemorative coins to mark the fifth anniversary of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). The gold coin features the Knowledge Centre of MBZUAI, the years “2020” and “2025”, and the inscription “Power from Knowledge to Serve”. The issuance comprises 10 gold coins and 500 silver coins, each weighing 50 grams, and have been delivered to MBZUAI. Why it matters: The issuance reflects the UAE's commitment to highlighting national initiatives in education and recognizing MBZUAI's role in building a knowledge- and innovation-driven economy.
MBZUAI President Eric Xing argued at the World Economic Forum in Davos that AI's next phase requires redesigning AI for real-world understanding and uncertainty, rather than just scaling models. He highlighted MBZUAI's unique position in building foundation models from scratch, emphasizing the importance of understanding their nuances, safety, and risks. Xing expressed skepticism about claims of general intelligence in current AI systems, pointing out their fragility and limited form of intelligence. Why it matters: Xing's participation highlights the growing role of Middle Eastern AI institutions like MBZUAI in shaping the global conversation around the future of AI.
MBZUAI held its inaugural Human-Computer Interaction (HCI) Symposium in Abu Dhabi, focusing on the human and societal impacts of AI. The event, led by Professor Elizabeth Churchill, featured workshops and keynotes from figures like Google's Matias Duarte. Participants collaborated to address critical design aspects of human-AI interaction and co-author a book. Why it matters: The symposium highlights the increasing importance of human-centered design in AI development, ensuring AI tools are useful, desirable, and beneficial for society in the GCC region and beyond.
MBZUAI is hosting the AI for the Global South (AI4GS) workshop in collaboration with the Indian Institute of Technology Delhi Abu Dhabi. The workshop aims to address the underrepresentation of the Global South in AI development and ensure AI benefits everyone. It brings together researchers from diverse disciplines and geographies, including representatives from NGOs, technology companies like Microsoft, Google, Cohere, and G42, and startups. Why it matters: The initiative promotes inclusive AI development, ensuring that AI tools and research consider the needs and contexts of underrepresented regions.
MBZUAI has launched "WAI", a community initiative to provide youth and senior citizens with a foundational understanding of AI and its applications. The inaugural event hosted over 30 youth and 15 senior citizens at MBZUAI’s campus for a day of learning and discussion. The program includes interactive sessions and hands-on activities in prompt engineering, with all participants receiving certificates of completion. Why it matters: This initiative promotes AI awareness across generations and aligns with the UAE’s Year of Community 2025, fostering inclusivity and shared learning in the digital age.
MBZUAI concluded its inaugural Global AI Leadership Program (GAILP) in Abu Dhabi, hosting 46 participants from UAE's public and private sectors. The program, delivered by The Academy, featured insights from faculty at MBZUAI, MIT Sloan, NYU, and industry experts from ADNOC and Palantir. UAE Minister Omar bin Sultan Al Olama presented at the event, emphasizing the importance of AI understanding for decision-makers. Why it matters: The program aims to equip UAE leaders with the knowledge to drive AI adoption and transformation across sectors, reinforcing Abu Dhabi's position as a global AI leader.
Shorooq Partners, a Middle East investment firm, has $500M in assets under management. Their AI fund is co-led by Dr. Bilal Baloch, who spoke at MBZUAI about venture capital. He advises technical founders to partner with people who complement their skills, especially in policy and commercialization. Why it matters: This highlights the growing sophistication of the venture capital ecosystem in the Middle East for AI startups.
The Abu Dhabi Centre for Emergencies, Crises and Disasters Management (ADCMC) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed an MoU at GITEX Global 2024. The agreement focuses on AI research, smart transformation, and institutional preparedness. It includes specialized AI studies, training programs, and the development of AI systems for monitoring cyber threats. Why it matters: The partnership aims to leverage AI to enhance Abu Dhabi's emergency management and crisis response capabilities, aligning with the emirate's digital transformation vision.
Nobel laureate Michael Spence lectured at MBZUAI on AI's impact on global economies, focusing on productivity and growth. He highlighted information asymmetries around LLMs and the risk of AI-driven bias in job screening. Spence suggests finding signals that cannot be easily imitated and increase the cost of delivering misleading information. Why it matters: The lecture brings attention to AI's transformative potential and the challenges it poses for economic models and policy in the UAE and globally.
Sheikh Tahnoon bin Zayed has issued a resolution to reconstitute the Board of Trustees of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). The board is chaired by His Excellency Khaldoon Khalifa Al Mubarak, with other members including Jassem Mohamed Bu Ataba Al Zaabi, Saif Saeed Ghobash, and Professor Daniela Rus. MBZUAI is recognized as a leading global institution in AI, focusing on research and innovation across sectors like healthcare and sustainability. Why it matters: The restructuring reinforces the UAE's commitment to AI leadership and MBZUAI's role in driving innovation and supporting the nation's AI strategy.
MBZUAI PhD student Salem AlMarri, also a Dubai Police officer, has been appointed to the Dubai Youth Council for 2023-2025. AlMarri's research focuses on using AI to combat crime and improve emergency response times, aiming to contribute to the UAE's AI strategy. In 2019, he was recognized as one of the UAE’s up and coming scientist at the Her Highness Sheikha Fatima Bint Mubarak Program for Excellence and Community Intelligence. Why it matters: This appointment highlights the UAE's focus on empowering young talent in AI to drive innovation and address local challenges in public safety and smart city development.
Dr. Sultan Al Jaber highlighted the UAE's focus on AI as a key economic and social driver, estimating AI's potential contribution to the UAE's GDP at $97.9 billion by 2030. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is positioned to play a crucial role in achieving the UAE's national AI strategy goals by 2031. The UAE aims to become a global leader in AI, leveraging it across various sectors to enhance efficiency and innovation. Why it matters: This reaffirms the UAE's commitment to becoming a leader in AI, supported by strategic initiatives and investments in education and technology.
MBZUAI President Eric Xing addressed questions about the university's global collaborations, ethical standards, and relationship to Chinese interests. He emphasized the UAE's focus on technological advancement and economic diversification through AI, highlighting MBZUAI's role in advancing this vision. Xing affirmed the university's autonomy, its commitment to Western academic values, and his lack of engagement with the Chinese government on university matters. Why it matters: The interview provides insights into the UAE's approach to AI development, emphasizing responsible global engagement and dispelling concerns about undue influence from specific countries.
MBZUAI celebrated its Board Chairman, Dr. Sultan Al Jaber, being appointed as UAE COP28 President-Designate. MBZUAI has recently signed agreements with IBM and Malaria No More/Reaching Last Mile to better understand and mitigate the effects of climate change. The UAE will host the annual climate summit at Expo City, Dubai, from November 30 to December 12, 2023. Why it matters: This appointment highlights the UAE's leadership in climate action and the role AI can play in addressing climate change challenges.
Sheikh Mohamed bin Zayed Al Nahyan attended a Ramadan lecture on solving global challenges through innovation, presented by Edward Jung. The lecture featured pre-recorded contributions from MBZUAI Chairman H.E. Dr. Sultan bin Ahmed Al Jaber, Dubai Future Foundation CEO Khalfan Belhoul, and MBZUAI President Professor Eric Xing, who discussed the UAE's investments in technology and innovation. Jung emphasized the need for a new model of innovation to address global challenges such as climate change and efficient cities. Why it matters: The lecture highlights the UAE's focus on utilizing technology and innovation to address critical global issues, with MBZUAI playing a central role in advancing these efforts.
MBZUAI President Eric Xing addressed the Class of 2025 at Space42 in Abu Dhabi, highlighting the university's growth and impact. He thanked outgoing chairman H.E. Dr. Sultan bin Ahmed Al Jaber and welcomed new chair H.E. Khaldoon Khalifa Al Mubarak. Xing emphasized the shift of technological innovation towards the MENA region, citing the UAE-US AI partnership and the unveiling of the world’s largest AI campus outside the U.S. Why it matters: This address underscores the UAE's ambition to become a global AI hub and the pivotal role of MBZUAI in driving this transformation.
UAE President Sheikh Mohamed bin Zayed Al Nahyan visited MBZUAI and was briefed on academic programs, research areas, and partnerships. Researchers presented AI projects spanning energy, climate, medicine, genetics, media, and robotics, and two start-ups from the university’s incubator showcased their work. MBZUAI President Professor Eric Xing noted the university's ranking as 10th globally in AI fields. Why it matters: The visit underscores the UAE's commitment to developing national AI talent and building a knowledge-based economy with AI at its core.
The sixth cohort of MBZUAI's Executive Program (MEP) has concluded, with 42 UAE leaders graduating after completing the 16-week training. The program aims to strengthen participants’ understanding of AI and drive AI-driven transformation within their organizations. Participants learned from MBZUAI faculty and experts from institutions like MIT, UC Berkeley, and industry leaders from Palantir and e&. Why it matters: This program reflects the UAE's commitment to developing AI leadership and effectively adopting AI solutions across critical sectors, equipping decision-makers with technical knowledge and strategic insights.
MBZUAI has joined the Aspen Institute’s Technology Leaders Initiative as a founding partner, alongside the Institute for Ethics in AI at the University of Oxford. This two-year program within the Aspen Global Leadership Network will convene 20 senior leaders from the global technology ecosystem. The initiative aims to explore ethical innovation, responsible leadership, and the societal impact of technology. Why it matters: The partnership highlights MBZUAI's commitment to fostering responsible AI development and ethical leadership in the technology sector.
MBZUAI and the Manara Center for Coexistence and Dialogue hosted a panel discussion at the Abrahamic Family House in Abu Dhabi on the role of faith in the age of AI. The panel featured scholars, religious leaders, and AI experts including MBZUAI President Eric Xing. Panelists discussed the differences between human consciousness/spirituality and AI capabilities, emphasizing the human capacity for higher consciousness, empathy, and collective understanding. Why it matters: The event highlights the UAE's focus on ethical AI development that considers the intersection of technology, spirituality, and human values.
Muhammad Arslan Manzoor became MBZUAI's first NLP Ph.D. graduate, focusing his research on media bias under Professor Preslav Nakov. His thesis, 'MGM,' explored using audience overlap graphs to predict the factuality and bias of news media, an approach that differs from traditional textual analysis. Manzoor's work aims to improve the efficiency of media profiling in real-time by leveraging relationships captured in media graphs. Why it matters: This research offers innovative methods for identifying bias in news, which is crucial for promoting informed social discourse and combating disinformation in the region.
A panel discussion at Manarat Al Saadiyat, featuring MBZUAI's Elizabeth Churchill, explored the evolving relationship between the physical and digital worlds. The panel, titled 'Body as medium: InterFACES: Skin/Screen,' addressed how hyper-connectivity and digital amplification alter our understanding of the human body and its limits. Churchill highlighted the profound shift occurring as we navigate the era of AI and its implications for human beings. Why it matters: The discussion underscores the increasing importance of understanding the ethical, social, and existential questions arising from the intersection of AI and human identity in the digital age.
Sheikh Khaled bin Mohamed bin Zayed Al Nahyan attended MBZUAI's 2025 commencement ceremony for 104 graduates across Computer Vision, Machine Learning, and Natural Language Processing. He congratulated the students and emphasized the UAE's commitment to becoming a global AI hub. The ceremony was attended by several high-profile UAE officials and MBZUAI leadership. Why it matters: This event highlights the UAE's continued investment in AI education and its strategic focus on developing local talent in key AI specializations.
James Landay from Stanford University spoke at MBZUAI about human-centered AI design, arguing current approaches focus too narrowly on the user level. He proposed considering user, community, and societal impacts at all stages of AI design, not as an afterthought. Landay emphasized the need for collaboration and cooperation to implement this approach effectively. Why it matters: This highlights the growing emphasis on ethical AI development and the importance of considering broader societal impacts in the design of AI systems within the region.
MBZUAI Professor Preslav Nakov discusses Meta's shift to crowdsourced fact-checking via Community Notes, replacing third-party fact-checkers. Community Notes, originating from Twitter's Birdwatch, allows users to add context to potentially misleading posts, visible after community consensus. Research indicates this approach can reduce misinformation and lead to post retractions. Why it matters: The adoption of crowdsourcing for content moderation by major platforms like Meta could significantly impact online information quality for billions of users.
Maryam Ahmed Hassani, an MBZUAI graduate and head of trends and innovation at Abu Dhabi’s Early Childhood Authority (ECA), is integrating AI into early childhood development to create efficient and human-focused systems. She aims to develop tools that personalize support for parents and predict developmental risks early on. Hassani also co-founded Zealous, an AI startup focused on AI code generation and testing, launching AI-native products including an AI-automated tester for websites and web apps. Why it matters: This highlights the growing application of AI in public sector challenges within the UAE, specifically in early childhood development and software development.
MBZUAI has launched the 6th edition of its Executive Program (MEP) aimed at empowering over 40 senior leaders from UAE's public and private sectors with AI knowledge. The 16-week program will cover AI fundamentals, industry transformations, strategy, policymaking, and ethics. Participants will explore a refreshed curriculum with immersive learning experiences, site visits, and an Ideas Launchpad to address real-world challenges. Why it matters: The program demonstrates the UAE's commitment to AI upskilling and aims to accelerate AI-driven transformations across sectors by equipping leaders with strategic, technical, and ethical foundations of AI.
Dr. Farida Al Hosani, a UAE public health leader and MBZUAI Executive Program graduate, has been at the forefront of the nation’s public health strategy, specializing in infectious diseases. She emphasizes the growing importance of AI in healthcare, particularly in areas like early detection, drug discovery, and public health strategies. Al Hosani has worked on several AI initiatives, including building algorithms and predictive modeling systems to bridge gaps in human health, especially in prevention. Why it matters: This highlights the increasing role of AI in transforming healthcare in the UAE, with public health leaders leveraging AI tools to improve disease prevention and treatment.
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's Provost, Tim Baldwin, provides six predictions for AI in 2025, highlighting the rise of agentic AI systems capable of performing actions on behalf of users. He notes the recent release of open-weight reasoning models like DeepSeek's R1 and OpenAI's o3-mini, emphasizing the dynamic nature of the field. Baldwin stresses the potential benefits of agentic AI, such as automating complex tasks like travel planning, while also cautioning about the need for careful deployment due to unforeseen outcomes. Why it matters: The predictions provide insight into the near-term trajectory of AI development and deployment, particularly regarding AI agents, and highlights the role of a UAE university in shaping the discussion around AI innovation.
Zeerak Talat, an independent scholar, gave a talk at MBZUAI on automated content moderation and the impacts of machine learning on society. Talat's research considers how machine learning interacts with and impacts societies through content moderation technologies, drawing from NLP, privacy preserving machine learning, science and technology studies, decolonize studies, and media studies. The talk highlighted research areas that can afford productive directions for the meeting between machine learning and society. Why it matters: The talk contributes to the discussion of ethical AI development and deployment in the region, particularly regarding content moderation and its societal impacts.
A partner at Oblon, Stefan Uwe Koschmieder, explained key points for patenting software and AI inventions. Koschmieder works with GCC universities on IP programs and advises foreign clients on IP portfolio management. He also lectured at Freie Universität Berlin on Intellectual Property. Why it matters: As software and AI innovation grows in the GCC, understanding patent law is increasingly important for protecting intellectual property and fostering local innovation.
EURECOM researchers developed data-driven verification methods using structured datasets to assess statistical and property claims. The approach translates text claims into SQL queries on relational databases for statistical claims. For property claims, they use knowledge graphs to verify claims and generate explanations. Why it matters: The methods aim to support fact-checkers by efficiently labeling claims with interpretable explanations, potentially combating misinformation in the region and beyond.
Dr. Teresa Lynn from Dublin City University (DCU) discussed the challenges in developing NLP tools for Irish, a low-resource language facing digital extinction. She highlighted the lack of speech and language applications and fundamental language resources for Irish. Lynn also mentioned her work at DCU on the GaelTech project and her involvement in the European Language Equality project. Why it matters: The development of NLP tools for low-resource languages like Irish is crucial for preserving linguistic diversity and preventing digital marginalization in the AI era.
A report discusses using AI to optimize healthcare delivery across the entire medical process cycle, including pre-hospital screening, in-hospital treatment, and post-hospital rehabilitation. It considers optimal management of workflow, medical resources, and comprehensive healthcare coverage. Dr. Jingshan Li from Tsinghua University is the author, with extensive publications and experience in production and healthcare systems. Why it matters: AI-driven improvements to healthcare processes could lead to better resource allocation and enhanced patient outcomes across the GCC region.
Mykel Kochenderfer from Stanford University gave a talk on building robust decision-making systems for autonomous systems, highlighting the challenges of balancing safety and efficiency in uncertain environments. The talk addressed computational tractability and establishing trust in these systems. Kochenderfer outlined methodologies and research applications for building safer systems, drawing from his work on air traffic control, unmanned aircraft, and automated driving. Why it matters: The development of safe and reliable autonomous systems is crucial for various applications in the region, and insights from experts like Kochenderfer can guide research and development efforts at institutions like MBZUAI.
Dr. Jindong Wang from Microsoft Research Asia gave a talk at MBZUAI about the limitations of large foundation models, including adapting to real-world unpredictability and security concerns. He also discussed the need for interdisciplinary collaboration to evaluate the benefits and risks of these models. Dr. Wang shared his research and insights on how to harness the power of large foundation models while addressing their constraints and fostering responsible AI integration. Why it matters: This highlights MBZUAI's role in hosting discussions about responsible AI development and the challenges of deploying foundation models.
Iryna Gurevych from TU Darmstadt presented research on using large language models for real-world fact-checking, focusing on dismantling misleading narratives from misinterpreted scientific publications and detecting misinformation via visual content. The research aims to explain why a false claim was believed, why it is false, and why the alternative is correct. Why it matters: Addressing misinformation, especially when supported by seemingly credible sources, is critical for public health, conflict resolution, and maintaining trust in institutions in the Middle East and globally.
Zeerak Talat, an independent scholar, gave a talk at MBZUAI on ethical concerns in NLP. The talk covered disparities in research on biases in NLP, performance differences based on socio-economic language variations, and risks of malicious reuse of NLP tools. Talat's research considers how machine learning interacts with and impacts societies through content moderation technologies. Why it matters: As NLP technologies become more integrated into society, understanding and addressing their potential harms and ethical implications is crucial for responsible development and deployment in the region and beyond.
Dr. Youcheng Sun from the University of Manchester presented on ensuring the trustworthiness of AI systems using formal verification, software testing, and explainable AI. He discussed applying these techniques to challenges like copyright protection for AI models. Dr. Sun's research has been funded by organizations including Google, Ethereum Foundation, and the UK’s Defence Science and Technology Laboratory. Why it matters: As AI adoption grows in the GCC, ensuring the safety, dependability, and trustworthiness of these systems is crucial for public trust and responsible innovation.
A PhD candidate from the University of Waterloo presented on threats from large machine learning systems at MBZUAI. The talk covered data privacy during inference and the misuse of ML systems to generate deepfakes. The speaker also analyzed differential privacy and watermarking as potential solutions. Why it matters: Understanding and mitigating the risks of large ML systems is crucial for responsible AI development and deployment in the region.
Christian Montag from Ulm University gave a talk about assessing attitudes towards AI, covering the IMPACT framework (Modality, Person, Area, Country/Culture, and Transparency). He discussed how factors like age, gender, personality, and culture relate to attitudes toward AI, and how those attitudes link to trust in automation and specific AI models like ChatGPT and Ernie Bot. Montag's research explores the intersection of psychology, neuroscience, behavioral economics, and computer science, focusing on the impact of AI on the human mind. Why it matters: Understanding public perception of AI is crucial for responsible development and deployment, especially in the Arab world where cultural and demographic factors can significantly shape attitudes.
A panel discussion was hosted at MBZUAI in collaboration with the Manara Center for Coexistence and Dialogue. The discussion centered on the potential of multimodal machine intelligence for human-centered applications, particularly in health and wellbeing. USC Professor Shrikanth Narayanan spoke on creating trustworthy and inclusive AI that considers protected variables. Why it matters: This signals MBZUAI's interest in exploring ethical AI development and its applications for societal good, potentially driving research and policy initiatives in the region.
The IEEE International Conference on Data Mining (ICDM) opened in Abu Dhabi, marking the emirate as a growing hub for global AI conferences. Three faculty members from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) hold key positions in the ICDM organizing committee. Abu Dhabi has recently hosted IROS in October and will host COLING in January 2025, with MBZUAI faculty heavily involved in these events. Why it matters: Hosting top-tier AI conferences in Abu Dhabi, with strong MBZUAI participation, enhances the region's reputation and visibility in the global AI community.
Freddy Jimenez, regional innovation lead for Pfizer in the Middle East, Africa, and Russia, is working to implement AI solutions for healthcare challenges in the UAE. Jimenez joined the Executive Education Program at MBZUAI to expand his knowledge and drive the country's healthcare industry forward. He emphasizes the importance of strategic approaches to AI in healthcare due to rapid technological advancements outpacing regulation. Why it matters: This highlights the UAE's focus on leveraging AI to improve healthcare outcomes and the importance of collaboration between industry, academia, and government to accelerate AI adoption in the heavily regulated healthcare sector.
The fifth edition of the MBZUAI Executive Program (MEP) concluded with 44 leaders from UAE's public and private sectors generating six innovative AI-driven ideas. Participants engaged in 16 weeks of learning, including modules on AI fundamentals, industry changes, policy, and ethics, with instruction from MBZUAI, UC Berkeley, and other top institutions. The capstone projects focused on using AI to solve national challenges under the theme of sustainability, including an AI-driven personalized learning platform for UAE schools. Why it matters: The program demonstrates MBZUAI's role in shaping future leaders and fostering AI innovation to address national priorities in the UAE.
Elizabeth Churchill, chair and professor of human-computer interaction at MBZUAI, emphasizes the importance of understanding the relationship between people, technologies, and technical infrastructures, especially in the age of AI. Drawing inspiration from psychology, sociology, anthropology, and human factors, she believes HCI can help understand people's needs and how to design usable, useful, and delightful technologies. She focuses on augmenting human potential and experience through technology, while also addressing the motivations of those who misuse technology. Why it matters: This highlights MBZUAI's focus on human-centered AI design and ethical considerations, aligning technology with human needs and societal well-being.
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 highlighted five Emirati women making contributions in AI, entrepreneurship, and leadership, coinciding with Emirati Women’s Day. Fatima AlKhoori is pursuing a Ph.D. at MBZUAI, researching transformer models for autonomous vehicle traffic sign recognition using UAE and German datasets. Dr. Hanan Aldarmaki, an MBZUAI assistant professor, specializes in Arabic speech and language processing. Why it matters: Showcasing Emirati women in AI underscores the UAE's commitment to gender diversity and national talent development in advanced technology fields.
MBZUAI researchers presented a study at ICML 2024 examining how data aggregation distorts causal discovery. The study argues that current methods are misled because real-world interactions happen at a micro level while observations are aggregated. Using the example of ice cream sales and temperature, they highlight how aggregation introduces "instantaneous causality" where time-lags exist. Why it matters: The research identifies a fundamental limitation in current causal discovery methods, potentially impacting disciplines relying on accurate causal inference from observational data.