In the summer 2021 issue of Informatik Spektrum with a focus on innovation in software development, the keyword article "Hybrid knowledge work" by Sarah Oeste-Reiß, Eva Bittner, Izabel Cvetkovic, Andreas Günther, Jan Marco Leimeister, Lucas Memmert, Anja Ott, Bernhard Sick and Kathrin Wolter was published. This article is the first joint publication of the AI junior research group "HyMeKI".

The journal "Informatik Spektrum", a scientific computer journal, is published every two months by Springer Verlag. In addition, the journal is the official organ of the Gesellschaft für Informatik e.V. (GI) and is aimed at all readers who want to explore new areas of computer science. Great importance is attached to the comprehensibility of the articles so that they are understood by the majority of readers and appear worth reading. The topics are strongly oriented towards practical problems without losing a solid scientific basis.

Summary: Advances in the field of artificial intelligence (AI) are opening up new design possibilities for the reorganization of knowledge work at the interface between humans and machines. By merging human and artificial intelligence, complementary strengths can be combined to solve work tasks. New types of knowledge work systems are required that support knowledge workers in the performance of both routine and non-routine tasks. The keyword article outlines the basics of knowledge work and works through the characteristics of routine tasks and non-routine tasks within work processes. It outlines the limits of classic IT-supported knowledge work systems as tools that support knowledge workers in the work process. Building on this, the article discusses how technological advances enable work process-integrated and personalized support for knowledge workers. To this end, the article refers to the characteristics of collaborative, interactive learning systems. Building on this, hybrid knowledge work systems are presented that support both AI-supported human learning and human-supported machine learning. In this context, the article describes the definitional foundations of human, artificial and hybrid intelligence, presents three archetypes of human-machine tasks within hybrid knowledge work systems and outlines three design dimensions of such systems. Using a practical example of collaborative writing by journalists, the article describes hybrid knowledge work as an example. The article concludes with an outlook on future research needs.

Link to the article: https://dl.gi.de/handle/20.500.12116/36518