I am a Full Professor in Explainable AI at Maastricht University in the Department of Advanced Computing Sciences (DACS) where I am the Director of Research. I am also a member of the Explainable AI (XAI) research theme, an interdisciplinary field of research focusing on explaining AI-driven systems. This includes intrinsically explainable approaches to AI, as well as methods that provide explanations for decisions made by "black-box" machine learning models. The ability of AI-driven systems to explain their decisions in human-understandable terms improves the trust we place in these systems and helps address issues related to fair and unbiased decision-making. We bring together researchers working on XAI in a diverse range of application areas, including recommender systems, computational social science, causal inference for life sciences, affective computing, computer vision, knowledge representation/reasoning, and machine learning. We have expertise in interactive interfaces for XAI, computational argumentation for XAI, and human-centered evaluation of XAI systems.

My research is funded by projects in the field of human-computer interaction in artificial advice-giving systems, such as recommender systems; specifically developing the state-of-the-art for automatically generated explanations (transparency) and explanation interfaces (recourse and control). These include ah EU Marie-Curie ITN on Interactive Natural Language Technology for Explainable Artificial Intelligence (2.8M). Currently, I am representing Maastricht university as a Co-Investigator in the ROBUST consortium to carry out long term (10-years, ~95M) research into trustworthy artificial intelligence. I am also a co-lab director of the TAIM lab, working on trustworthy media, in collaboration with UvA and RTL. I regularly shape national (On NWO-ENW domain advisory committee Computer Science, the Informaticatafel) and international scientific research programs (e.g., steering boards, editorial board of journals, and as program chair of conferences), and actively organize and contribute to high-level strategic workshops relating to responsible data science, both in the Netherlands and internationally. I am a senior member of the ACM. I regularly examine PhD dissertations and review national (primarily NWO) and international grant proposals.

Relevant keywords: explanations, natural language generation, human-computer interaction, personalization (recommender systems), intelligent user interfaces, diversity, filter bubbles, responsible data analytics.