When machine learning models are used in critical areas like medicine, finance and the criminal justice system, their black-box nature can be a major issue.

This is where Cambridge PhD Student Jonathan Crabbe's research comes in. Jonathan's work consists of developing explainability methods that create an interface between complex models and human users.

In this Quantum special episode of the Aviva Podcast, Jonathan joins Aviva's UK general insurance Analytics Director Stephen Shaw to delve into his research.