Manufacturing firms are increasingly adopting AI to improve inspection, maintenance, scheduling, robotics, digital twins, knowledge management, and supply chain coordination. However, these applications do not automatically create human-centered progress. Without deliberate organizational maturity, AI …

Decades of research on intercultural competence (ICC) development in higher education have primarily focused on interventions implemented during enrollment, with limited attention to the experiences students bring with them upon entry. This study therefore explores differences in ICC at the point of …

This graduation project focuses on improving the understanding and analysis of complex business processes that are difficult to manage due to inconsistencies, lack of standardisation, and poor interoperability between systems. The project is situated in the domain of business process modelling and simulation, …

The graduation subject focuses on research and development of a Page Builder tool with an AI assistant. The core concept is to allow technical and non-technical users to create and edit Spectrum application pages by combining a visual interface with an AI assistant. Before describing the tool itself, …

Background/Objectives: Digital technologies and data-driven approaches are rapidly transforming healthcare practice and enabling more personalized and preventive care. As personal health data becomes increasingly embedded in healthcare systems, understanding how future healthcare professionals interpret …

Uitlegbaarheid van AI in de praktijk: implementatie van de uitlegbaarheidseisen van de EU-AI-verordening door AI-aanbieders in de landbouwsector

UWV Boostercollege AI & Arbeidsmarkt

\emph{Purpose.} Tracheostomy is a critical, life-saving procedure, but complications often arise due to suboptimal tracheostomy tube fit. Customised tubes could mitigate these risks, yet their development hinges on precise tracheal morphometric data. This study aims to establish an automated workflow …

Explainability of AI systems is branded as a solution to the black box problem. The EU AI Act introduces AI explainability as a requirement for high-risk AI systems, including a right to explanation. However, understanding the wording of the requirements and the related provider and deployer obligations …

During BILETA Conference I presented my upcoming paper about AI LIteracy and the challanges of adoption across the EU, in light of the upcoming EU Omnibus Digital Package.