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 …

Uit de gesprekken met vertegenwoordigers van Noordelijke overheden blijkt dat de digitale overheid volop in beweging is, maar tegelijkertijd wordt geconfronteerd met de nodige structurele, organisatorische en technologische obstakels. Hoewel er de afgelopen jaren veel aandacht was voor informatiehuishouding …

Over de betrouwbaarheid van AI, en de mogelijkheden binnen verschillende sectoren.

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research …

One aspect of a responsible application of Artificial Intelligence (AI) is ensuring that the operation and outputs of an AI system are understandable for non-technical users, who need to consider its recommendations in their decision making. The importance of explainable AI (XAI) is widely acknowledged; …

For people with early-dementia (PwD), it can be challenging to remember to eat and drink regularly and maintain a healthy independent living. Existing intelligent home technologies primarily focus on activity recognition but lack adaptive support. This research addresses this gap by developing an AI …

With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …