Construct · 1 fields · 2 citations

hybrid intelligence: a standalone construct

One name. One construct. A landmark on the map.

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hybridintelligence1 CONSTRUCTHybrid intelligenceDELLERMANN · HUMAN + MACHINE

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Information systems

Human and machine intelligence combined so the collective outperforms either alone

Dominik Dellermann, Philipp Ebel, Matthias Söllner, and Jan Marco Leimeister defined the construct in 2019 in Business & Information Systems Engineering as the ability to achieve complex goals by combining human and artificial intelligence, so the collective reaches outcomes neither could reach alone and the two continually learn from each other. The framing is deliberately socio-technical: rather than treating AI as a replacement for human judgment or humans as a stopgap for imperfect AI, hybrid intelligence treats the pairing itself as the unit of design, each party compensating for the other's characteristic weaknesses: human common sense and context against machine scale and consistency. Dellermann and colleagues (2019, HICSS) developed the companion design-knowledge taxonomy for building such systems. The construct is distinctive because its object is the human-machine collective as a designed capability, and it sits in the information-systems tradition of socio-technical design rather than in artificial intelligence as such.[1][2]

Unit
One human-machine collective treated as a single designed capability
Recovery means
Not applicable
Measured by
Approached through design-science artifacts and taxonomies specifying how human and machine roles are combined, and evaluated by whether the collective outperforms either party alone

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Nearby constructs

ghost work1 fields · 2 citationsanchor · a standalone constructtask-technology fit6 names · 10 citationsjangle · six names, one construct, two homonymsbusiness1 fields · 1 citationsanchor · a standalone construct

References

  1. Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. M. (2019). Hybrid intelligence. Business & Information Systems Engineering, 61(5), 637-643. https://doi.org/10.1007/s12599-019-00595-2
  2. Dellermann, D., Calma, A., Lipusch, N., Weber, T., Weigel, S., & Ebel, P. (2019). The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS). https://doi.org/10.24251/hicss.2019.034

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