Research Group Artificial Intelligence

The Artificial Intelligence research group researches applications of AI and data-driven innovation. AI technology is developing rapidly and has an impact on many companies and governments. It is of social importance to steer this development in the right direction and to explore and, where necessary, record the limits of AI. People-oriented values such as transparency, trust, creativity and autonomy are central to this.

Research to and the development of tools to make AI transparant and explainable.

Research to tools, prototypes and methods that developers need to realise human centred AI.

Explore the boundaries of machine learning and the usefulness of it for entrepreneurs.

Responsible AI Procurement

Project

AI offers municipalities opportunities for better and more efficient public service delivery but also introduces context‑dependent risks.

eFAIR

Project

How can we ensure that AI decisions are justified and do not perpetuate unintended biases or discrimination?

Trustworthy Interaction among Humans and Algorithms: How Designers should contribute to responsible AI

Project

Discussions about AI increasingly focus on the impact of recommender systems, making responsible design essential. This project develops a pattern library with validated interaction possibilities, enabling designers to create transparent, fair, and effective AI systems.

More research projects

““The EU should outline a broad narrative in which privacy, transparency and accountability form the foundation for sustainable, healthy and productive relations between individuals and organisations.””
Stefan Leijnen

AI-Enabled Real-Time Emotion Recognition in Addiction Helplines Using SenseVoice-S
- Beyza Gökkaya, Tina Mioch, Christina Todorova
- Research group: Artificial Intelligence
- Lecture
- 2026
Fairness trade-offs in hiring: what people prefer and what engineers can build
- Pavlo Burda, Sieuwert van Otterloo
- Research group: Artificial Intelligence
- Lecture
- 2026
Checklist for evaluating the meaningfulness of AI system explanations for internal users
- Henry Maathuis, Jenia Kim, Kees van Montfort, Raymond Zwaal, Danielle Sent, Sieuwert van Otterloo
- Research group: Artificial Intelligence
- Report
- 2025

More publications

Researchers of our research group are involved within the ICT educational programmes of Artificial Intelligence Software Engineering, Cybersecurity, the Masters Data Driven Business, Data Driven Design, International Business Administration and the International Master Human Centered Artificial Intelligence.

“It's the most efficient thing to do to allow algorithms to make decisions on behalf of human beings. […] And if this is more efficient, what happens to the ideals of freedom and human rights and individualism?”
Yuval Noah Harari

The research group Artificial Intelligence works together with regulators and banks on the explainability of AI in the financial sector, with media parties on the responsible use of AI, with hospitals on the responsible implementation of personalized care and with government organizations on the implementation of ethical and legislative frameworks in new AI applications. Do you have a question about the responsible use of AI? Please contact us. Our researchers and students are open to collaboration.