Joost Vossers

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Hello! I am a PhD Candidate at the Donders Centre of Cognition at Radboud University in Nijmegen. My research is about traceable inference in Bayesian networks for clinical decision support systems and is part of the ELSA lab on Legal, Regulatory, and Policy Aspects of Clinical Decision Support Systems. I am part of the Probabilistic Graphical Models group under Johan Kwisthout and Marcos de Paula Bueno.

I graduated from Umeå University in Umeå, Sweden where I completed the Master's Programme in Artificial Intelligence with a focus on Human-Computer Interaction. For this degree, I moved to Sweden from the Netherlands where I previously obtained my Bachelor's Degree in Artificial Intelligence at the Radboud University in Nijmegen.

My main interest within the field of AI fall within the responsible use of AI. I want to work towards technologies that are accessible and safe to use for everyone, regardless of their background. I enjoy studying and discussing the ethical and societal impact of (AI) technologies and I think that this is an important area of research. Because of this, I have been involved with the Responsible AI Research Group in Umeå to learn and grow in the academic field.

Publications

Vossers J., Brännström A., Borglund E., Hansson J., & Nieves J. C. (2024) Human-Aware Planning for Situational Awareness in Indoor Police Interventions. HHAI 2024: Hybrid Human AI Systems for the Social Good, 325.

Vossers J., Danelid F., Brännström A., & Nieves J. C. (2023). Towards Deception Detection in Multiplayer Dialogue Games using Trust-Based Argumentation. In: The Workshop on Ethics of Game Artificial Intelligence (EGAI)@ECAI-23, Kraków, Poland, September 30 - October 4, 2023.

CV

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If you want the most recent version of my CV, to cooperate on a (research) project, or if you have any questions in general, do not hesitate to contact me in one of the ways at the bottom of this page.