In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' …

Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring in …

Are we defenseless against AI, deepfake, and the rapid spread of disinformation? Join the first episode in our podcast series part of the Jean Monnet Chair EU-ACT DIGITAL, an initiative spotlighting EU digital policy. Our very first guest, Member of European Parliament Bart Groothuis (part of the …

The British and Irish Law, Education and Technology Association (BILETA) warmly invites individuals to attend and participate in its 39th Annual Conference hosted by Dublin City University’s Law and Tech Research Cluster in partnership with the Law Society of Ireland and with the support of the Erasmus …

NarcoView aims to improve finding narcotic waste dumpsites by utilizing a methodology that reduces reliance on current reporting methods. The project faces challenges in data- and main question is: How does the NarcoView project ensure secure handling of data used on the platform and customize …

Artificial intelligence (AI) integration in Unmanned Aerial Vehicle (UAV) operations has significantly advanced the field through increased autonomy. However, evaluating the critical aspects of these operations remains a challenge. In order to address this, the current study proposes the use of a combination …

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, …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

Artificial Intelligence (AI) promises to solve challenges both in the private and public sector. In industry, for example, future accountants and marketeers will share their day-to-day tasks with AI bots. In the public sector, AI could help governments to act more quickly in crisis situations or anticipate …

Autonomous robots require high degrees of cognitive and motoric intelligence to come into our everyday life. In non-structured environments and in the presence of uncertainties, such degrees of intelligence are not easy to obtain. Reinforcement learning algorithms have proven to be capable of solving …