AI & Enterprise
Douzone Bizon, Techfin Ratings and KAIST paper on AI transaction-network credit scoring model accepted by CIKM
Douzone Bizon said on Aug. 20 that a paper it co-authored with Techfin Ratings and a research team led by KAIST professor Chan-young Park was accepted by the ACM International Conference on Information and Knowledge Management (CIKM). The study develops an AI-based transaction-network credit scoring model, DefaultGNN. It quantitatively analyzes client-network information that traditional models did not cover, using variables such as counterparties, transaction types, shares and business closures to quantify hidden risks.
