As part of the National Police Lab AI, I conduct research into making data-driven automated decision making (machine learning) transparent and explainable. This new research area, Explainable Artificial Intelligence (XAI), combines insights from algorithmic decision-making, philosophy, and (social) psychology.
For the Netherlands National Police, I support practitioners in embedding explainability and transparency during the design, development and operation of AI applications. My open-source Python toolkit Explabox helps data scientists to gain trust in their AI models, and to be confident in creating and applying AI models in a legally and ethically correct manner.
In September 2019 my master's thesis Contrastive Explanation for Machine Learning won the Graduate School of Natural Sciences thesis award, and was runner-up for the UU Best Master's Thesis 2019.