Considerations on Human-AI Collaboration in Knowledge Work – Recruitment Experts’ Needs and Expectations

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dc.contributor.authorAla-Luopa, Saara
dc.contributor.authorKoivunen, Sami
dc.contributor.authorOlsson, Thomas
dc.contributor.authorVäänänen, Kaisa
dc.date.accessioned2023-12-26T18:35:56Z
dc.date.available2023-12-26T18:35:56Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.024
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherbdc2a3f8-edd1-4c24-8503-38f5a1de1216
dc.identifier.urihttps://hdl.handle.net/10125/106399
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI and the Future of Work
dc.subjectartificial intelligence
dc.subjectexpertise
dc.subjecthuman-ai collaboration
dc.subjectknowledge work
dc.subjectrecruitment
dc.titleConsiderations on Human-AI Collaboration in Knowledge Work – Recruitment Experts’ Needs and Expectations
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractOrganizations' decision-making processes are increasingly supported by novel AI applications. While intelligent systems appear promising for enhancing various professional tasks, domain experts’ perceptions of the adoption and use of AI remain understudied. Following a human-centered design approach, this qualitative interview study (N=15) explores the potential of AI applications from recruitment experts’ perspectives. The results of the study emphasize the collaborative nature of AI: recruitment experts anticipate AI to augment their expertise positioning as a complementary information source. Domain experts would then evaluate and justify this outcome according to certain recruitment situations and combined with recruitment experts’ tacit knowledge. Novel AI applications are expected to align with underlying social and societal factors that guide the domain experts’ work practices. The results provide qualitative understanding into domain experts’ user experience and human-AI collaboration in knowledge work, offering insight into human-centered AI design and development.
dcterms.extent10 pages
prism.startingpage197

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