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 …

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, …

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

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.

Overal om ons heen nemen algoritmen en AI-systemen beslissingen die mensen raken. In het onderwijs, bij de overheid, in dienstverlening. Vaak gaat het gesprek over wat technisch kan en wat juridisch mag. Maar een cruciale vraag blijft te vaak liggen: wat willen we eigenlijk – en voor wie ontwerpen we …

Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

How designers can contribute to responsible AI in the clinic