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

This white paper explores the challenges to integrating Artificial Intelligence (AI) solutions into clinical practice, addressing perspectives on a) human factors, b) AI technologies, and c) integration in clinical workflow. Through creating insights into these perspectives, we aim to contribute to the …

While there is much focus on interventions to foster ethical reflection in the design process of AI, there is less focus on fostering ethical reflection for (end)users. Yet, with the rise of genAI, AI technologies are no longer confined to expert users; non-experts are widely using these technologies. …

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. …

This research reviews the current literature on the impact of Artificial Intelligence (AI) in the operation of autonomous Unmanned Aerial Vehicles (UAVs). This paper examines three key aspects in developing the future of Unmanned Aircraft Systems (UAS) and UAV operations: (i) design, (ii) human factors, …

Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual …