A Time Series Approach to Explainability for Neural Nets with Applications to Risk-Management and Fraud Detection
“We here propose a novel XAI [eXplainable AI] technique for deep learning methods (DL) which preserves and exploits the natural time ordering of the data. Simple applications to financial data illustrate the potential of the new approach in the context of risk-management and fraud-detection.” Lire
Explainable Artificial Intelligence (Xai) in Insurance: A Systematic Review
“Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry’s vast stores of sensitive data on policyholders and centrality in societal progress and innovation.” Lire