UAE to capitalize on opportunities of AI enabled industrial revolution to grow its economy and contribute to global challenges, including climate change
AI solutions have potential to contribute 13 trillion dollars to global economy
Integration of AI into industrial processes has potential to dramatically reduce emissions and stimulate low carbon economic growth
Abu Dhabi, UAE, April 29, 2023: Artificial intelligence research will play a key role in harnessing global opportunities and creating practical, tangible solutions for increasing AI adoption as well as generating economic and social value, said H.E. Dr. Sultan Ahmed Al Jaber, UAE Minister of Industry and Advanced Technology, and President-Designate of COP28, during a visit to Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).
Dr. Al Jaber, who is also the Chairman of MBZUAI, said: “AI adoption across industries will help meet the nation’s goals in advancing technology and diversifying its economy. Projections show AI solutions are on course to contribute an estimated $13 trillion to the global GDP by 2030, optimizing the industries of tomorrow, and dramatically improving the lives of billions of people in the process. We stand on the brink of a technological revolution and MBZUAI is providing a world-leading pipeline of AI specialists, and an ecosystem nurturing industrial collaboration to support the UAE’s innovation trajectory.”
During his visit, alongside G42 CEO, Peng Xiao and Professor Eric Xing, President and University Professor of MBZUAI, H.E met with leading researchers from MBZUAI and the Inception Institute of Artificial Intelligence (IIAI) to discuss key research projects that will deliver on UAE national priorities including sustainable environment and infrastructure; world-class healthcare and education systems; and exploring large language models, particularly in Arabic.
The Chairman also met with MBZUAI faculty focusing on the institution’s three core pillars of climate, health, and education, where he reviewed research on energy efficient language models and machine learning systems, maximizing solar energy outputs, and real-time autonomous malaria diagnosis and assessment. Dr. Al Jaber was also given a demonstration of environmentally friendly chatbot – Vicuna – a global collaboration between researchers at MBZUAI, UC Berkeley, Carnegie Mellon University, Stanford, and UC San Diego.
Peng Xiao commented: “The UAE’s unwavering commitment to advancing artificial intelligence and digital transformation is evident in a thriving academic institution like MBZUAI. In the three years since its establishment, MBZUAI has attracted world-renowned researchers from the most prestigious educational institutions globally. This concentration of talent has catalyzed a massive wave of growth in the local AI ecosystem and has helped the UAE build a strong platform for AI development to foster an environment conducive to driving meaningful and sustained innovation, with far-reaching impact across various industries worldwide.”
Dr. Al Jaber also emphasized the role of AI in climate based solutions saying: “AI will contribute to the UAE’s net zero strategic initiative by 2050 and help unlock advances in climate progress. Technologies being developed today have the potential to increase energy efficiency, reduce emissions, and ensure that economic growth and climate progress go hand-in-hand while advances in technologies like artificial intelligence, analytics and robotics will enable us to better decarbonize high emitting sectors, and measure and reduce energy consumption and emissions.”
It is estimated that AI could be used to help to reduce greenhouse gas emissions by up to 5.3 gigatons of carbon dioxide equivalent gases (CO2e) if applied globally, playing a major role in limiting global temperature increases to 1.5C.
During the visit, Dr. Al Jaber was also updated on a joint MBZUAI, IBM project that aims to provide a data engine to identify urban areas in Abu Dhabi with excessive heat, which could be used to inform climate and sustainability policies. With its capability to analyze vast quantities of global data, AI can be used to measure greenhouse gas emissions and climactic trends, and spot potentially important patterns that will prove invaluable to scientists and policy makers.
On his part, Professor Eric Xing said: “MBZUAI is already leading global efforts to develop and deploy sustainable AI solutions and applications as we showcased today. Harnessing the power of AI, we are delivering state-of-the-art research that can solve the world’s most pressing issues such as in healthcare, education, and environmental sustainability. There has never been a greater need for well-trained AI professionals and investments into AI R&D. By pushing the boundaries of AI and continuing to collaborate with key industry leaders for the application of AI solutions, we can have profound social and economic impact. In the recent hype of AI, we must remain focused on its massive potential for good.”
MBZUAI is among 12 UAE-based universities and higher education institutions to join the Universities Climate Network (UCN). The taskforce enables collaboration to advance ambitious climate action nationally and internationally to accelerate positive change for a low-carbon, resilient world. Eight MBZUAI students from eight countries have also been selected to participate in the Climate Ambassadors Program (CAP). They recently took part in an immersive roleplay simulation of a COP28 UAE proceeding, where they were given an opportunity to study, explore, and learn about the diverse challenges nations face due to climate change.
About Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
MBZUAI is a graduate, research university focused on artificial intelligence, computer science, and digital technologies across industrial sectors. The university aims to empower students, businesses, and governments to advance artificial intelligence as a global force for positive progress. MBZUAI offers various graduate programs designed to pursue advanced, specialized knowledge and skills in artificial intelligence, including computer vision, machine learning, and natural language processing. For more information, please visit www.mbzuai.ac.ae