Explainable AI (XAI)
I am particularly interested in explainable reasoning using symbolic AI, in applications ranging from optimisation to legal reasoning to clinical decision support. XAI research currently spans across many of my activities.
EPSRC project: Resource Optimisation, Argumentation, Decision support and Knowledge Transfer to create Value via Learning Health Systems. I apply computational argumentation methods to explainable reasoning with clinical guidelines and integration with optimisation.
Analysing the Passage of UK Parliament Bills
Project in collaboration with Thomson Reuters, Data Science Institute and Imperial College Business School. I have driven the development of both methodology and a working system to explain primary legislation outcomes.