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 …

How designers can contribute to responsible AI in the clinic

Presentatie van ons paper: Hardly any sliders in real-world apps: a library of algorithmic affordances to bridge the research-practice gap in Human-AI Interaction

Samenwerken op ethisch verantwoord datagebruik: uitdagingen en oplossingen voor betere publieke dienstverlening 1-2 - IBDS

This paper investigates the role of conversational AI in improving the quality of decision-making across different stages of the process. Drawing on an experimental study involving 113 students in Dutch higher education, participants engaged in a simulated business challenge using three approaches: no …

Discussion of how algorithmic affordances in educational recommender systems can help create responsible AI, but how they also potentially introduce new ethical problems

Trust in AI is crucial for effective and responsible use in high-stakes sectors like healthcare and finance. One of the most commonly used techniques to mitigate mistrust in AI and even increase trust is the use of Explainable AI models, which enables human understanding of certain decisions made by …

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 …

Algorithmic affordances are defined as user interaction mechanisms that allow users tangible control over AI algorithms, such as recommender systems. Designing such algorithmic affordances, including assessing their impact, is not straightforward and practitioners state that they lack resources to design …

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 …