Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

As consensus across the various published AI ethics principles is approached, a gap
remains between high-level principles and practical techniques that can be readily adopted …

Governments worldwide are strategically investing in artificial intelligence (AI) to improve
public services and streamline internal operations. In this context, national AI strategies play …

Purpose Governments are increasingly turning to artificial intelligence (AI) algorithmic
systems to increase efficiency and effectiveness of public service delivery. While the …

In this paper, two systematic literature searches are used to pursue questions about
digitization in management reporting on the one hand and role-specific questions on the …

Abstract Establishing accountability for Artificial Intelligence (AI) systems is challenging due
to the distribution of responsibilities among multiple actors involved in their development …

Despite large progress in Explainable and Safe AI, practitioners suffer from a lack of
regulation and standards for AI safety. In this work we merge recent regulation efforts by the …

Given the complexity of teams involved in creating AI-based systems, how can we
understand who should be held accountable when they fail? This paper reports findings …

Context: In the livestock domain, technologies are developed to sustainably raise animal
production. However, the domain is critical, since animals are very sensitive to variables …

Artificial intelligence (AI) is one of the most important technologies of the future (Crew, 2020).
So far, however, AI has been insufficiently deployed. This applies not only to family …