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

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 …

In the consensus machine, AI acts as a moderating influence to encourage people to find common ground. Moving beyond individual human-AI interaction, we apply AI technology to create a tool that serves people as a group

Concerns have been raised over the increased prominence ofgenerative AI in art. Some fear that generative models could replace theviability for humans to create art and oppose developers training generative models on media without the artist's permission. Proponents of AI art point to the potential increase …