Abstract
The panel “Navigating the Future: The Interplay of AI and International Economics” explores the transformative role of artificial intelligence (AI) in shaping international economic landscapes. Hosted by the International Trade and Finance Association, the session brings together leading scholars to examine how advanced AI methodologies, such as machine learning (ML) and natural language processing (NLP), are influencing economic forecasting, global supply chains, environmental challenges, and international organizations.
Dalibor Stevanovic (UQAM) investigates the integration of machine learning into economic forecasting, highlighting the enhanced predictive capabilities and methodological innovations that surpass traditional econometric approaches. Nathalie De Marcellis (Polytechnique Montreal and CIRANO) addresses the critical role of AI in fostering resilience within global supply chains, focusing on adaptive strategies that mitigate disruptions in increasingly interconnected markets. Ethan Hartley (Hawai University) explores the application of machine learning to environmental and economic challenges, emphasizing AI’s potential in balancing sustainability and economic growth. Finally, Aleksandar Stojkov (Ss. Cyril and Methodius University) delves into the intersection of large language models (LLMs) and international organizations, offering insights into how NLP-driven solutions are reshaping the operational dynamics and decision-making processes of global institutions.
Moderated by Thierry Warin (HEC Montreal & Digital, Data and Design [D^3] Institute, Harvard Business School), this panel aims to provide a comprehensive overview of AI’s pivotal role in international economics, fostering dialogue on emerging opportunities and challenges at the nexus of technology, policy, and global markets.
Panelists
Dalibor Stevanovic, UQAM Topic: The Impact of Machine Learning on Economic Forecasting Presentation 1 here Presentation 2 here
Nathalie De Marcellis, Polytechnique Montreal and CIRANO Topic: Leveraging Machine Learning for Enhancing Global Supply Chain Resilience Presentation here
Ethan Hartley, Hawai University Topic: Machine Learning Approaches to Environmental and Economic Challenges Presentation here
Aleksandar Stojkov, Ss. Cyril and Methodius University Topic: LLMs and International Organizations : An NLP Perspective Presentation here
General Cross-Panel Questions:
How can machine learning be leveraged to better understand the complex interplay between environmental, economic, and geopolitical factors?
What are the implications of AI-driven economic tools for global equity and inclusion, particularly for developing countries?
How do we ensure that AI applications in international economics are used responsibly and transparently, avoiding unintended consequences like exacerbating inequalities or biases?
What collaborative efforts between researchers, policymakers, and international organizations are needed to fully harness AI’s potential in addressing global economic challenges?