Labs
In our seven AI labs, we design, develop and implement AI solutions with and for companies and institutions. We make sure those solutions are actually built to be usable and ethically sound.
Each lab focuses on a specific application area. The activities and results of the labs also feed education and research. Students are involved in the labs, including through (thesis) assignments, minors and subjects in the curriculum. From the labs, organizations come into contact with AI talent at both the undergraduate and graduate level.
Centre for Financial Innovation (CFI)(opens in new window)
In the field of finance and accounting, AI is used to perform data analysis in order to gain insights, assess risk, to make predictions and support decision-making. CFI ensures that data generated by AI algorithms is used responsibly and that the privacy and confidentiality of sensitive financial information is safeguarded.
Centre for Market Insights (CMI)(opens in new window)
The CMI deals with AI in marketing and retail. By translating data into clear insights, the CMI helps companies make better marketing decisions. For example, the lab also conducts research on developing a versatile chatbot algorithm that needs little data to effectively engage in a conversation.
Legal Tech Lab(opens in new window)
This lab is for (government) professionals in legal services. The lab aims a sustainable cooperation and exchange between education, research and government in the field of translation of legal rules into digital systems.
Maintenance Lab(opens in new window)
The lab uses AI to predict machine maintenance and make mechanics' jobs easier. In the Maintenance Lab, you'll find a smart refrigeration system. By making a “digital twin” (a digital copy) of the installation, you can predict the failure point of such a refrigerator, after which the installation can correct itself.
Responsible AI Lab(opens in new window)
This lab focuses on the responsible aspect of the technology: how do you as humans interact with AI? In doing so, the lab focuses on the media sector and the public domain. For example, AI is advancing within the recruitment and selection of new personnel. From online games to software that selects cover letters. What do we think of this and how do you deal with it responsibly?
Smart Education Lab(opens in new window)
Quickly designing lessons using generative AI: that's what the lab is working on, among other things. With this, current and personalized education can be delivered in the classroom. The lab is building a digital learning environment in which students work on systems thinking: an important skill for understanding and solving problems that helps students better understand the world.
Smart Health and Vitality Lab(opens in new window)
Digital care and AI in the neighbourhood is what the lab focuses on. Around this theme, the lab works together with knowledge institutions, companies, public and private organizations, and citizens. Together they help neighbourhood residents with health problems who are in a vulnerable position. The goal is to make AI applications and digital innovations accessible to everyone.