Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a “black box”. It is essential to ensure transparency, fairness, and accountability – which are especially paramount in the financial sector. The aim of this study was a preliminary investigation of the perspectives …

Systematic literature review on digital transformation skills

Introduction This study aims to advance theoretical development on digital transformation (DT) skills that are essential for sustainable employment. Rapid and continuous advancements of digital technology, such as increased automation, artificial intelligence (AI), big data, cloud computing, robotics …

In recent years, the fight against (violent) extremism has focused more on anticipating the threats that they pose. Therefore, early detection of undemocratic ideas by local professionals has become an important part of the preventive approach in counter terrorism radicalisation. Frontline workers who …

Creëer een netwerkorganisatie met besluitvorming op het laagst haalbare organisatieniveau.

The use of algorithmic tools by journalists for information-gathering has received particular attention in recent years. While it might facilitate the research process, there are also concerns about their impact on journalism. Based on reconstruction interviews with 27 journalists, we first answer the …

We investigate a computer supported approach in which pairs co-con-struct a qualitative representation of the dynamics of the industrial revolution in a shared workspace. A key feature of this approach concerns the use of a meta-vocabulary for representing cause-and-effect relationships that facilitates …

Remaining Useful Life (RUL) estimation is directly related with the application of predictive maintenance. When RUL estimation is performed via data-driven methods and Artificial Intelligence algorithms, explainability and interpretability of the model are necessary for trusted predictions. This is especially …

B4B is a multi-year, multi-stakeholder project focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and …

Powerpresentatie tijdens CORAL symposium.