The world is changing fast, and technology is becoming smarter and more intelligent. As Artificial Intelligence dominates the conversation — with Quantum Computing, Synthetic Data, and Organoid Intelligence on the horizon — designers face an urgent question: Are we heading toward Utopian or Dystopian …

Ethical tools are frequently proposed as a means to promote the design and implementation of responsible Artificial Intelligence (AI). Yet many organizations designing and deploying AI make only limited use of ethical tools. This study explores the application of ethical tools for responsible AI in the …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

As youth workers increasingly offer support and guidance within digital environments, the question arises as to what impact this support has on the (online) lives of young people. This paper explores the contribution of youth work practice in the online lifeworld on young peoples’ development, building …

Adsorbed natural gas (ANG) storage using metal-organic frameworks (MOFs) is a promising alter- native for efficient natural gas storage at moderate pressures. However, the presence of higher alkanes in natural gas mixtures can significantly affect storage performance by reducing methane adsorption capacity. …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

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 …

We developed a lesson where students construct a qualitative representation to learn how clock genes are regulated. The lesson, designed for upper secondary and higher education, is implemented in the DynaLearn software (level 4), which allows for modelling feedback loops. Students construct the representation …