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By Bimbola Oyesola
The University of Greater Manchester has completed another groundbreaking Artificial Intelligence (AI) training programme for staff of the World Trade Organization (WTO) in Geneva, Switzerland, strengthening its global footprint in AI education and international collaboration.
The two-day workshop, titled “AI Modular for WTO Operations,” was organised by the university’s Centre of Intelligence of Things (CIoTh) and focused on the practical uses of AI in policy formulation, administration and process automation at the WTO.
The training was led by Assistant Professor Tim Openshaw, representing the Acting Vice-Chancellor, alongside Professor Celestine Iwendi, head of the Centre of Intelligence of Things, and Dr. Pradeep Hewage, Senior Lecturer and Master of Research Coordinator for the Computing Department.
Speaking at the opening session, Assistant Professor Openshaw said the programme reflected the University’s growing commitment to supporting global institutions through AI-driven solutions.
“This training reaffirms our dedication to building global partnerships and using Artificial Intelligence to strengthen governance and decision-making processes,” Openshaw said. “Our vision is to make AI an accessible and practical tool for solving real-world problems across sectors.”
Representing WTO Director-General, Dr Ngozi Okonjo-Iweala, who was on an official engagement in Saudi Arabia, Dr Bright Okogu commended the University for delivering a timely and transformative programme.
“On behalf of Dr Okonjo-Iweala, I want to thank the University of Greater Manchester for this excellent collaboration,” Okogu said. “The quality, depth, and relevance of the training were outstanding. It has opened new possibilities for applying AI within the WTO’s operational systems.”
Throughout the sessions, participants explored how AI can enhance policy modelling, streamline administrative processes, and improve data management and workflow efficiency across WTO departments.
Professor Iwendi, who recently concluded a Distinguished Lecture Series in Egypt before joining the Geneva workshop, said the training was another step in showing how AI could revolutionise international systems.
“AI is not just about automation, it’s about transformation,” he said. “From trade systems to tax reforms, Artificial Intelligence can simplify complex processes and support better, faster, and more transparent decision-making.”
He added that his visit to Egypt included engagements with the British University in Cairo, Nile University, and Giza’s Customs and Tax Departments, where he discussed how AI can drive revenue generation and digital transformation.
Two Master’s in Research students from CIoTh, Nengi Aboutorabi and Salome Uwah, also joined the team in Geneva, providing technical and analytical support throughout the sessions.
Professor Iwendi praised their contributions, saying they represented the University’s focus on research-led learning and youth inclusion.
“It was inspiring to see our young researchers applying their knowledge in an international context,” he said. “They brought creativity, technical skill, and fresh perspectives that enriched the entire workshop.”
Dr Pradeep Hewage described the collaboration as “a practical demonstration of how academia and international institutions can jointly use AI to create measurable impact.”
The initiative received institutional backing from Sam Johnson, Head of the School of Arts and Creative Technologies, who praised the CIoTh team for their leadership and innovation.
“We are proud of this achievement,” Johnson said. “The University of Greater Manchester is committed to empowering organisations like the WTO with the skills and confidence to use AI responsibly for global good.”
The University said the training aligns with its broader mission to equip international organisations with tools and knowledge for sustainable development, governance, and innovation through technology.
With the Geneva session concluded, the University of Greater Manchester continues to position itself as a global leader in Artificial Intelligence education and applied research, bridging academia, technology, and policy for a more efficient world.
