Following the recent surge in adoption of machine learning, the negative impact that
wellintended but ill-considered development of these technologies can have on …

Machine learning, in particular deep learning, is being used in almost all the aspects of life
to facilitate humans, specifically in mobile and Internet of Things (IoT)-based applications …

This special issue of Machine Learning is devoted to exploring the emerging research
questions in robust machine learning. Although machine learning techniques are currently …

Our society is undergoing a profound change: connected computing systems are being
deployed ubiquitously in our physical surroundings. A rapidly developing class of such …

Intelligent systems have found their way into our lives in almost every conceivable field.
There is hardly any area in which the possibilities and applications of machine learning are …

Autonomous systems have the potential to provide great benefit to society. However, they
also pose problems for safety assurance, whether fully auton-omous or remotely operated …

The concept of autonomy is key to the IoT vision promising increasing integration of smart
services and systems minimizing human intervention. This vision challenges our capability …

The workshop on Safety and Desirability Constraints for Machine Learning Systems takes
place within the context of the Integrator project Safety and Desirability Constraints for AI …

Machine Learning (ML) is now used in a range of systems with results that are reported to
exceed, under certain conditions, human performance. Many of these systems, in domains …

Autonomous systems emerge from the need to progressively replace human operators by
autonomous agents in a wide variety of application areas. We offer an analysis of the state of …