A transparent AI system creates support, strengthens trust and keeps risks manageable. Eulaly Vanroelen from Thomas More shows you the way to a fair AI system in 7 practical steps.

Bavo Van Landeghem of Scriptorij explains how to recognise AI texts and gives tips on how to use AI tools as writing aids.

Setting up your own computing cluster? That's exactly what KdG did. For more control, lower costs, and digital autonomy. What started as a leap of faith is gradually growing into a solid foundation for AI research, collaboration, and education.

AI is changing the work of PhD students: from the impact on research methods to the writing processes. As a result, PhD students need AI training courses. Is the current offer sufficient? Which courses exist already, and which are missing? And can students find their way towards them?

History and artificial intelligence, polar opposites? That is merely an illusion, as PhD student Bas Vercruysse of UGent knows. To study the historical evolution of comics, he uses computer vision to automatically detect comic strips in old magazines. And that saves a lot of time.

Cataloguing collections is a time-consuming and complex task for libraries, but artificial intelligence offers a solution! Hannes Lowagie explains how the Royal Library of Belgium (KBR) is automating this process.

More and more people are seeking emotional support from chatbots. These in-depth conversations might provide relief, but Wim Casteels (AP University of Applied Sciences and Arts) warns that this new form of ‘therapy’ has its risks.

While AI easily finds its way into Flemish companies, some companies are lagging behind and Flanders is struggling with a huge learning problem among professionals. VAIA, as part of the Flanders AI Policy Plan, ensures that all professionals are up to date, not only large companies, but society in its entirety.

Generative AI gained rapid popularity partially thanks to their user-friendly interfaces that hide complex infrastructures. Despite their apparent simplicity, these tools use huge amounts of power, water and raw materials. Wim Casteels (AP University of Applied Sciences and Arts Antwerp) discusses the biggest problems.