I am an academic who studies how people reason, how this reasoning can be captured in formal models and how it can be supported and improved using AI technologies. I am involved in the fields of in argumentation in AI and AI & Law. I work at the Department of Information and Computing Science of Utrecht University and the Tilburg Institute for Law, Technology, and Society (TILT) of Tilburg University, the Netherlands.

Also check out my LinkedIn and Google Scholar pages.

National Police-lab AI

The National Police Lab AI is a collaborative initiative of the Dutch National Police and Utrecht University and the University of Amsterdam. As an ICAI lab, we develop state-of-the-art AI techniques to improve the safety in the Netherlands in a socially, legally and ethically responsible way. Check Utrecht Police Lab AI webpage for more information on the projects we have in Utrecht in the areas of text & data analytics, computational argumentation & dialogue and multi-agent systems.

Highlighted publications

F. Bex & H. Prakken (2021) On the relevance of algorithmic decision predictors for judicial decision making. Proceedings of the 19th International Conference on Artificial Intelligence and Law (ICAIL 2021), pp. 175-179. ACM Press. [PDF]

A. Borg & F. Bex (2021) A Basic Framework for Explanations in Argumentation. IEEE Intelligent Systems 36:2, pp. 25-35. DOI: 10.1109/MIS.2021.3053102. [PDF]

D.F.W. Craandijk & F.J. Bex (2020) Deep Learning for Abstract Argumentation Semantics. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020), pp. 1667-1673. [PDF]