Disentangling Human-AI Hybrids
| dc.contributor.author | Fabri, Lukas | |
| dc.contributor.author | Häckel, Björn | |
| dc.contributor.author | Oberländer, Anna Maria | |
| dc.contributor.author | Rieg, Marius | |
| dc.contributor.author | Stohr, Alexander | |
| dc.date | 2023-12-01 | |
| dc.date.accessioned | 2023-12-12T13:30:12Z | |
| dc.date.available | 2023-12-12T13:30:12Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Artificial intelligence (AI) offers great potential in organizations. The path to achieving this potential will involve human-AI interworking, as has been confirmed by numerous studies. However, it remains to be explored which direction this interworking of human agents and AI-enabled systems ought to take. To date, research still lacks a holistic understanding of the entangled interworking that characterizes human-AI hybrids, so-called because they form when human agents and AI-enabled systems closely collaborate. To enhance such understanding, this paper presents a taxonomy of human-AI hybrids, developed by reviewing the current literature as well as a sample of 101 human-AI hybrids. Leveraging weak sociomateriality as justificatory knowledge, this study provides a deeper understanding of the entanglement between human agents and AI-enabled systems. Furthermore, a cluster analysis is performed to derive archetypes of human-AI hybrids, identifying ideal–typical occurrences of human-AI hybrids in practice. While the taxonomy creates a solid foundation for the understanding and analysis of human-AI hybrids, the archetypes illustrate the range of roles that AI-enabled systems can play in those interworking scenarios. | de |
| dc.identifier.doi | 10.1007/s12599-023-00810-1 | |
| dc.identifier.issn | 1867-0202 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s12599-023-00810-1 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43296 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Business & Information Systems Engineering: Vol. 65, No. 6 | |
| dc.relation.ispartofseries | Business & Information Systems Engineering | |
| dc.subject | Archetypes||Human-AI collaboration||Human-AI hybrids||Sociomateriality||Taxonomy | |
| dc.title | Disentangling Human-AI Hybrids | de |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 623-641 |