Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual …

In machine learning, people stay responsible for defining both the available data, and the desired outcomes. The growth of knowledge and insights remains both critical and constantly dependent on developments, and therefore on professionals. Although the quality of our work can increase through the use …

What lessons in terms of democratization can Bosnia and Herzegovina learn from Croatia’s accession to the EU? The objective of this study was to support the existing theory about the EU’s role in democratization and to provide insight on how the country can improve on the way it moves forward in its …