Explaining Risk: Feasibility Study for an AI-Powered Causal Model in Trade Finance

• Unité de recherche: INNOSUISSE
• Numéro de projet: 134.878 INNO-ICT
• Titre du projet anglais: Explaining Risk: Feasibility Study for an AI-Powered Causal Model in Trade Finance

Mots-clé (Anglais)

ICT, Artificial/local/extended/networked intelligence

Résumé des résultats (Abstract) (Anglais)

Efides develops explainable AI for commodity finance. Together with ZHAW, we test how causal models can scientifically explain trade risks, reducing false positives and financing gaps, enabling more transparent, efficient, and secure global food trade.