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

Research unit

INNOSUISSE

Project number

134.878 INNO-ICT

Project title

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

Texts for this project

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Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, Artificial/local/extended/networked intelligence
Abstract (English)	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.