Program overview
This three-day executive program equips policymakers and public sector professionals with the strategic and analytical frameworks needed to understand, govern, and shape the deployment of emerging technologies, with a particular focus on artificial intelligence (AI) and its implications for institutions, labor markets, and national competitiveness. Drawing on applied research, comparative policy analysis, and real-world case studies, the program bridges the gap between technical understanding and policy action, providing participants with practical tools that can be immediately applied in government, regulatory bodies, and public institutions across the GCC and beyond.
Mode of Learning
In-person
Location
KSPP
Language
English
Duration
3 Days
Program Start
November 10, 2026
Program End
November 12, 2026
Program Hours
09:00 AM – 04:00 PM
Learning Outcomes
Analyze the strategic implications of AI and emerging technologies for public institutions and national policy frameworks.
Evaluate global AI governance models and assess their applicability to different regulatory and economic contexts.
Apply strategic foresight tools, including the Three Horizons model and scenario planning, to anticipate technological disruption and design adaptive policy responses.
Assess the interaction between technology diffusion, labor market transformation, and economic competitiveness at the national and regional levels.
Design evidence-based policy recommendations for responsible, equitable, and innovation-enabling AI deployment.
Communicate complex technological and policy trade-offs to diverse stakeholder groups, including senior government officials, industry leaders, and international partners.
Who Should Attend?
Managers
Public-sector managers with approximately 7–12 years of professional experience who develop, implement, or evaluate public policy within ministries, government agencies, and public institutions
Public Sector Leaders
Leaders and officials working in regulatory authorities, oversight bodies, and public institutions who are responsible for technology governance, digital transformation, AI regulation, or emerging technology policy.
Cross-Ministry Cohorts
Participants who would benefit from cross-ministry collaboration and applied discussions grounded in real-world public sector challenges
Cross-Ministry Cohorts
Participants who would benefit from cross-ministry exchange, peer learning, and applied discussions grounded in real public sector challenges.
Proficiency of written and spoken English
The program will be delivered in English. Applicants should be proficient in written and spoken English.
Faculty
Professor Mark Esposito
Dr. Mark Esposito, Professor of Strategy and Technology Policy, Faculty Fellow at the Center for Emerging Markets, and Affiliate Scientist at the Global Resilience Institute at Northeastern University, is a globally recognized scholar, educator, and practitioner at the forefront of technology, economics, and public policy. He specializes in the Fourth Industrial Revolution and artificial intelligence, with expertise spanning academia, international organizations, and the private sector.
Mark also holds appointments at Harvard University, where his affiliations span the Berkman Klein Center for Internet & Society at Harvard Law School, the Center for International Development at Harvard Kennedy School, and the Institute for Quantitative Social Science. He is also a Senior Associate at the University of Cambridge.
Mark is closely connected to policy and innovation initiatives worldwide. He is a member of the World Economic Forum's Global AI Alliance, the Fostering Converging Technologies group, and the Next Frontier of Operations initiative within the Centre for Advanced Manufacturing and Supply Chains. He has been a Fellow at the Mohammed Bin Rashid School of Government in Dubai since 2017. He has advised government agencies across the Gulf Cooperation Council and Eurasia, and for over a decade co-led the Institute's Council on the Microeconomics of Competitiveness at Harvard Business School under Professor Michael Porter.
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