In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone …

Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters’ situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially …

Artificial Intelligence systems are more and more being introduced into first response; however, this introduction needs to be done responsibly. While generic claims on what this entails already exist, more details are required to understand the exact nature of responsible application of AI within the …

We present an evaluation of tools for assessing the impact of AI in the Dutch media sector. Our evaluation of the ECP AIIA tool shows the need for clear guidelines in the adoption of various AI applications within Dutch media organisations. We conclude that the adoption of impact assessment tools, such …

The huge number of images shared on the Web makes effective cata loguing methods for efficient storage and retrieval procedures specifically tai lored on the end-user needs a very demanding and crucial issue. In this paper, we investigate the applicability of Automatic Image Annotation (AIA) for im age …

In the past few years, the EU has shown a growing commitment to address the rapid transformations brought about by the latest Artificial Intelligence (AI) developments by increasing efforts in AI regulation. Nevertheless, despite the growing body of technical knowledge and progress, the governance of …

Machine learning models have proven their use in the medical field, assisting physicians in early diagnosis of serious diseases. Diabetic retinopathy is one of such diseases that could benefit from early detection, but the amount of data available to train accurate models is limited. This challenge could …

The increasing use of AI in industry and society not only expects but demands that we build human-centred competencies into our AI education programmes. The computing education community needs to adapt, and while the adoption of standalone ethics modules into AI programmes or the inclusion of ethical …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

Addressing and integrating human values into AI design and development processes in research and practice can be di cult, and a clear methodological approach can clarify issues of both theory and prac- tice. One such approach is Value Sensitive Design (VSD), an established theory for addressing issues …