I’m thrilled to soon get started on a EPSRC first grant on XAI.

Through the Alan Turing Institute, we (Stefanie, Andreas and I) mentored at the Deloitte Datathon, on the theme of financial services for social good.

Last week, I gave an IPAB (Edinburgh) seminar on decision-theoretic planning via probabilistic programming, based on our recent MLJ (2017) article.

I attended the SML workshop in the Black Forest, and talked about the connections between explainable AI and statistical relational learning. The talk was an extension of a recent Perspectives on XAI summary.

I gave a talk entitled “Perspectives on Explainable AI,” at an interdisciplinary workshop focusing on building trust in AI. Slides here.

An article at the planning and inference workshop at AAAI-18 compares two distinct approaches for probabilistic planning by means of probabilistic programming.

The paper discusses the epistemic formalisation of generalised planning in the presence of noisy acting and sensing.