The hospitality industry is known as one of the fields with highest levels of burnout due to heavy emotional labour, understaffing, frequent overtime and insufficent support. Concerningly, the youngest cohort in the workforce so far - Gen Z - showcases higher levels of burnout compared to previous generations. …

"Teachers in vocational education are increasingly expected to integrate digital tools into their didactic practices and to engage in continuous professional development. At ROC Midden Nederland, this process takes shape within the AI Lab — a practice-based research environment where teachers explore …

Rapid progression in generative artificial intelligence technology facilitates faster and easier conversational agent design. However, deploying conversational agents is challenging and can easily have adverse effects. To this end, more conceptual clarity on how to design for, for example, trust, in …

Emergency responders (ERs) work in dynamic, complex, and unpredictable environments. The integration of increasingly advanced sensor and artificial intelligence technology affects the work processes and decision-making of ERs and leads to new challenges regarding efficient and responsible human-AI cooperation. …

'This research explored how emotionally intelligent leadership can foster inclusive workplaces for LGBTQIA+ Generation Z employees within the Dutch hospitality industry. Despite existing legal frameworks on Diversity, Equity, and Inclusion, LGBTQIA+ Gen Z employees continue to face exclusion, microaggressions, …

This thesis explores how organizations can build stronger trust and transparency in AI-driven marketing. It examines customer concerns around data use, personalization, and algorithmic decision-making, and identifies practices that make AI more understandable, fair, and responsible. Through interviews …

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, …

Editorial on the Research Topic "Leveraging artificial intelligence and open science for toxicological risk assessment"