Hybrid intelligence is about reinventing the way in which humans and technology co-exist, and what they can do together.

Jacob Sherson (Head of Center)

Hybrid Intelligence has often been rather loosely defined in many variations without a strict delineation between other related fields such as intelligence augmentation and human-in-the loop AI, and areas such as augmented intelligence or broadly human computer interaction. In order to establish both discriminative and prescriptive power of our work, we adopt a definition of hybrid intelligence in terms of three criteria put forward by Dellerman et al. (2019):
 

• Collectiveness: the human and AI are solving the task collectively towards a system-level goal. Sub-goals of individual agents might be different from the system-level goal.
• Solution Superiority: the socio-technical system achieves results superior to that of the individual agents (human or AI).
• Mutual Learning: the system improves over time, both as a whole and also each single component (human and AI).
• With our consortium of interdisciplinary researchers from around the world, we conduct both theoretical and experimental work on hybrid intelligence. 

With our consortium of interdisciplinary researchers from around the world, we conduct both theoretical and experimental work on hybrid intelligence.