Source: International Monetary Fund – IMF (video statements)
Amid escalating global uncertainty, strengthening economic and financial integrity has become critical to protecting stability and sustaining public trust. Corruption, money laundering, and other economic crimes do not merely exploit institutional weaknesses, they actively deepen them by obstructing policy implementation, draining public resources, and eroding growth. This session will provide first-hand examples of the IMF’s work on anticorruption and anti-money laundering as an essential component of the IMF’s mandate and engagement, along with a donor-perspective on this agenda.
Artificial intelligence in the analysis of economic narratives, forecasting, and risk assessment.
This biennial conference provides a forum for new theoretical and applied work on forecasting with an aim to put new insights into practice. Under the title “Artificial intelligence in economic narratives, forecasting and risk assessments”, the forthcoming edition focuses on the use of AI algorithms for economic analysis, exploring how these methods are transforming the way economists understand and interpret economic phenomena.
As artificial intelligence and machine learning techniques rapidly evolve, they offer unprecedented opportunities to analyse complex economic relationships, detect patterns in high-dimensional data, and uncover structural dynamics that traditional methods may overlook. The conference aims to address both the potential and the challenges of AI-driven economic analysis in an environment characterized by high economic, financial, and political risks. One session of the conference is co-organized with the Financial Transactions "Big Data" Global Research Network (FTGRN).
