Deep reinforcement learning systems are approaching or surpassing human-level performance in specific domains, from games to decision support to continuous control, albeit in non-critical environments. Most of these systems require random

Channel charting (CC) is an emerging application of self-supervised machine learning (ML) to wireless communication which leverages the fact that wireless communications systems continuously collect data about the electromagnetic

Explainability is of significant importance in the move towards trusted, responsible and ethical AI, yet remains in infancy. Most relevant efforts focus on the increased transparency of AI model design and training data, and on statistics

Public spaces in large cities are increasingly becoming complex and unwelcoming environments. Public spaces progressively become more hostile and unpleasant to use because of the overcrowding and complex information in signboards. It is in

In Cocoon, we interweave innovations in two distinctly different disciplines to understand and improve security of home IoT technology: emotion psychology and cyber security. We produce an understanding of the psychology of IoT users

For robots to build trustable interactions with users two aspects will be crucial during the next decade. First, the ability to produce explainable decisions combining reasons from all the levels of the robotic architecture from low to high

Online misbehaviour means that the information received via social media cannot be taken at face value. Sharing of misleading, out of context or simply false information, and coordination of behaviours ("brigading") distorts the quality of