Hybrid Intelligence is an emerging concept that emphasizes the complementary nature of
human intelligence and artificial intelligence (AI). One key requirement for collaboration …

Supervised machine learning methods for image analysis require large amounts of labelled
training data to solve computer vision problems. The recent rise of deep learning algorithms …

The field of artificial intelligence (AI) is advancing quickly, and systems can increasingly
perform a multitude of tasks that previously required human intelligence. Information …

Recent developments in Artificial Intelligence (AI) have fueled the emergence of human-AI
collaboration, a setting where AI is a coequal partner. Especially in clinical decision-making …

Purpose This study aims to show the inconsistency of the approach to the development of
artificial intelligence as an independent tool (just one more tool that humans have …

Abstract Theory is an essential part of design research and helps us to explain what we see
or guide what we design. In the paper, we shed light on how kernel theories are used in …

Hybrid intelligence systems (HIS) enable human users and Artificial Intelligence (AI) to
collaborate in activities complementing each other. They particularly allow the combination …

Hybrid Intelligence (HI) is an emerging paradigm in which artificial intelligence (AI)
augments human intelligence. The current literature lacks systematic models that guide the …

Deep learning methods have proven to outperform traditional computer vision methods in
various areas of image processing. However, the application of deep learning in industrial …

Prescriptive analytics systems (PAS) represent the most mature form of business analytics
(BA), offering advanced decision support. However, current research predominantly focuses …