Research scientist · Oslo, Norway
Martin Jullum.
I work on making statistical and machine learning methods useful, understandable, and trustworthy.
I am a Chief Research Scientist at the Norwegian Computing Center in Oslo, with a PhD in mathematical statistics from the University of Oslo. Much of my work concerns explainable AI: understanding predictions from complex models, particularly through Shapley values and counterfactual explanations.
I also work with machine learning, network analysis and statistical modelling. I develop software, give talks and supervise students alongside my methodological and applied research.
Notes from the archive
News
- TalkGuest lecture on explainable AI at BI Norwegian Business SchoolCourse details
An introduction to the field, its motivation, and three methods for explaining AI systems.
- PapereXplego presented at xAI 2023Read the paper
Our interactive tool helps people choose an XAI method based on the kind of explanation they need.