Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

A chemistry set from Santa catalysed this researcher’s love of science. Now, she is solving healthcare challenges with innovative machine-learning tech. Dr Alison O’Connor is a postdoctoral researcher ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...