Human-AI collaboration in healthcare settings in Sweden
| dc.contributor.author | Cikizwa Khumalo, Akhona | |
| dc.date.accessioned | 2023-05-30T11:13:21Z | |
| dc.date.available | 2023-05-30T11:13:21Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This document introduces my research interests in Human-AI collaboration in Healthcare. The need to exploit the strengths of both humans and AI for increased productivity has been highlighted in literature, and it is becoming increasingly evident that AI and humans can work towards a shared goal. However, the notion of intelligent systems as collaborators is yet to be explored. My research aims at exploring human-AI collaborative work and how it impacts the healthcare professional’s workflow. | en |
| dc.identifier.doi | 10.48340/ecscw2023_dc05 | |
| dc.identifier.eissn | 2510-2591 | |
| dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4670 | |
| dc.language.iso | en | |
| dc.publisher | European Society for Socially Embedded Technologies (EUSSET) | |
| dc.relation.ispartof | Proceedings of 21st European Conference on Computer-Supported Cooperative Work | |
| dc.relation.ispartofseries | Reports of the European Society for Socially Embedded Technologies: vol. 7, no. 3 | |
| dc.title | Human-AI collaboration in healthcare settings in Sweden | en |
| dc.type | Text/Conference Paper | |
| gi.conference.date | 5 June - 09 June, 2023 | |
| gi.conference.location | Trondheim, Norway | |
| gi.conference.review | full | |
| gi.conference.sessiontitle | Doctoral Colloquium |
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