Future of Forecasting: Collective and Artificial Intelligence

The workshop brings together experts across multiple disciplines — cognitive science, social science, behavioural economics, and the humanities — to explore the evolving role of forecasting in the coming age of artificial intelligence.

A central theme is the concept of collective intelligence and wisdom of crowd — the idea that the aggregated judgments of groups can outperform individuals, even the experts. This underpins modern applications such as prediction markets, political forecasting, and large-scale decision systems.

A key topic of the workshop will be the integration of AI into forecasting processes as well as decision-making processes in general. While AI has the potential to democratize forecasting and decision-making tools and enhance predictive accuracy, it also raises important questions about information diversity, bias, and reliability. The workshop will feature distinguished researchers, including:

• Dražen Prelec, Economics, Brain and Cognitive Sciences, and Sloan School, MIT – permanent fellow
• Steve Fleming, Computational Neuroscience and the Max Planck UCL Centre for Computational Psychiatry, University College London – visiting fellow
• Yonatan Loewenstein, The Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem – visiting fellow
• John McCoy, Wharton School, University of Pennsylvania – visiting fellow
• Rava da Silveira, Mathematical Cognitive Science, University of Zurich and University of Basel – visiting fellow
• Émile Servan-Schreiber, School of Collective Intelligence, University Mohammed VI Polytechnic – visiting fellow

The workshop will also feature a keynote by Themistoklis P. Sapsis, MIT — William I. Koch Professor of Mechanical and Ocean Engineering; Director of the Center for Ocean Engineering.