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.
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.
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]