Hybrid Intelligence

  • Dominik Dellermann
  • Philipp Ebel
  • Matthias Söllner
  • Jan Marco LeimeisterEmail author


Research has a long history of discussing what is superior in predicting certain outcomes: statistical methods or the human brain. This debate has repeatedly been sparked off by the remarkable technological advances in the field of artificial intelligence (AI), such as solving tasks like object and speech recognition, achieving significant improvements in accuracy through deep-learning algorithms (Goodfellow et al. 2016), or combining various methods of computational intelligence, such as fuzzy logic, genetic algorithms, and case-based reasoning (Medsker 2012). One of the implicit promises that underlie these advancements is that machines will 1 day be capable of performing complex tasks or may even supersede humans in performing these tasks. This triggers new heated debates of when machines will ultimately replace humans (McAfee and Brynjolfsson 2017). While previous research has proved that AI performs well in some clearly defined tasks such as playing chess, playing Go...


Hybrid intelligence Artificial intelligence Machine learning Human-computer collaboration Machines as teammates Future of work 


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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Dominik Dellermann
    • 1
  • Philipp Ebel
    • 2
  • Matthias Söllner
    • 2
    • 3
  • Jan Marco Leimeister
    • 1
    • 2
    Email author
  1. 1.Research Center for IS Design (ITeG), Information SystemsUniversity of KasselKasselGermany
  2. 2.Institute of Information ManagementUniversity of St. GallenSt. GallenSwitzerland
  3. 3.Information Systems and Systems EngineeringUniversity of KasselKasselGermany

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