This article examines how collaborative design practices in higher education are reshaped through postdigital entanglement with generative artificial intelligence (GenAI). We collectively explore how co-design, an inclusive, iterative, and relational approach to educational design and transformation, …

De retailsector staat voor grote uitdagingen én kansen. Nieuwe technologieën, veranderend consumentengedrag, verduurzaming, veiligheid en arbeidsmarkt krapte zetten ondernemers en beleidsmakers onder druk. Tegelijkertijd groeit de behoefte aan innovatie en betrouwbare kennis die niet op de plank belandt, …

Human Digital Twins zijn een opkomend type Digital Twin dat in de gezondheidszorg wordt gebruikt om persoonlijke ondersteuning te bieden. In navolging van deze trend zijn we van plan om onze virtuele fitnesscoach, een coachingplatform dat gebruikmaakt van draagbare gegevens over fysieke activiteit, naar …

This study investigates how AI tools might help Criteo recruiters by decreasing manual labor and increasing process efficiency. Recruiters must review more profiles and interview more prospects due to the increase in application numbers, which is partially caused by candidates utilizing AI to improve …

The intersection of financial technology (FinTech) and financial inclusion is increasingly recognized in both academic research and policy as a powerful tool for addressing global challenges and supporting sustainable development. Financial inclusion is essential for achieving the United Nations' sustainable …

The integration of big data and artificial intelligence into modern systems has profoundly influenced societal structures causing significant ethical challenges. This paper investigates the role of professional oaths in mitigating these threats by focusing on Dutch data professionals. Through a two-phase …

This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal re quirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is …

As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative …

Het is inmiddels breed geaccepteerd dat beslissingen die door AI-systemen worden genomen, uitlegbaar moeten zijn aan hun gebruikers. Toch blijft het in de praktijk vaak onduidelijk hoe die uitlegbaarheid concreet vorm moet krijgen. Vooral voor niet-technische gebruikers, zoals scha-debeoordelaars bij …

It is now widely accepted that decisions made by AI systems must be explainable to their users. However, in practice, it often remains unclear how this explainability should be concretely implemented. This is especially important for nontechnical users, such as claims assessors at insurance companies, …